default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSarangapani Jagannathan
Jagannathan Sarangapani
Person information
- affiliation: Missouri University of Science and Technology, Rolla, MO, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j142]Charles C. Rawlins
, Sarangapani Jagannathan, Venkata Sriram Siddhardh Nadendla:
A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks. IEEE Internet Things J. 11(8): 14088-14099 (2024)- [j141]Charles C. Rawlins, Jagannathan Sarangapani:
Predicting IoT Distributed Ledger Fraud Transactions With a Lightweight GAN Network. IEEE Trans. Mob. Comput. 23(7): 7818-7829 (2024) - [j140]Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan:
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9267-9276 (2024) - [c197]Maxwell Geiger, Vignesh Narayanan, Sarangapani Jagannathan:
Optimal Tracking of Uncertain Linear Discrete-Time Systems Using Trajectory-Dependent Lifelong Q-learning. ACC 2024: 3631-3636 - [c196]Behzad Farzanegan, Sarangapani Jagannathan:
Reinforcement Learning-Based Constrained Optimal Control of Strict-feedback Nonlinear Systems: Application to Autonomous Underwater Vehicles. CCTA 2024: 651-656 - [c195]Shirin Nasr Esfahani, Jagannathan Sarangapani:
Lifelong Direct Error-Driven Learning for UAV Altitude Estimation in Different Weather Conditions. MMSP 2024: 1-6 - [c194]Shirin Nasr Esfahani, Jagannathan Sarangapani:
Relative Altitude Estimation of Infrared Thermal UAV Images Using SIFT Features. MMSP 2024: 1-6 - [e1]Jagannathan Sarangapani, Geetha Ganesan, Rajiv Misra, Valentina Emilia Balas, Manik Sharma:
Joint Proceedings of the Workshop on Intelligent Systems (WINS 2023) and the Workshop on Computer Vision and Machine Learning for Healthcare (CVMLH 2023) Co-located with CODD 100 - 7th International Conference on Computing Sciences (ICCS 2023), Hybrid Event, Chennai, India, May 20 - 21, 2023. CEUR Workshop Proceedings 3635, CEUR-WS.org 2024 [contents] - 2023
- [j139]Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan:
Filter-Based Fault Detection and Isolation in Distributed Parameter Systems Modeled by Parabolic Partial Differential Equations. IEEE Access 11: 45011-45027 (2023) - [j138]Krishanu Nath, Manas Kumar Bera, Sarangapani Jagannathan:
Concurrent Learning-Based Neuroadaptive Robust Tracking Control of Wheeled Mobile Robot: An Event-Triggered Design. IEEE Trans. Artif. Intell. 4(6): 1514-1525 (2023) - [j137]Rohollah Moghadam, Sarangapani Jagannathan:
Optimal Adaptive Control of Uncertain Nonlinear Continuous-Time Systems With Input and State Delays. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3195-3204 (2023) - [j136]Surbhi Gupta, Gaurav Singal, Deepak Garg, Sarangapani Jagannathan:
QC_SANE: Robust Control in DRL Using Quantile Critic With Spiking Actor and Normalized Ensemble. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6656-6662 (2023) - [j135]Rohollah Moghadam, Vignesh Narayanan, Sarangapani Jagannathan:
Event-Triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-Time Systems With State Delay. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3324-3337 (2023) - [j134]Behzad Farzanegan, Sarangapani Jagannathan:
Continual Reinforcement Learning Formulation for Zero-Sum Game-Based Constrained Optimal Tracking. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7744-7757 (2023) - [c193]Charles S. Rawlins, Sarangapani Jagannathan:
Towards Robust Consensus for Intelligent Decision-making in IoT Blockchain Networks. AIBThings 2023: 1-5 - [c192]Charles C. Rawlins, Sarangapani Jagannathan:
Improved Intelligent Ledger Construction for Realistic IoT Blockchain Networks. AIBThings 2023: 1-5 - [c191]Behzad Farzanegan, Sarangapani Jagannathan:
Optimal Tracking of Nonlinear Discrete-time Systems using Zero-Sum Game Formulation and Hybrid Learning. ACC 2023: 2715-2720 - [c190]Irfan Ganie, Sarangapani Jagannathan:
Continual Optimal Adaptive Tracking of Uncertain Nonlinear Continuous-time Systems using Multilayer Neural Networks. ACC 2023: 3395-3400 - [c189]Charles C. Rawlins, Sarangapani Jagannathan, Donald Wunsch:
Prediction of Blockchain Transaction Fraud Using a Lightweight Generative Adversarial Network. BCCA 2023: 116-121 - [c188]Charles C. Rawlins, Sarangapani Jagannathan, Venkata Sriram Siddhardh Nadendla:
A Reputation System for Distributed Intelligent Blockchain Decision-Making. BCCA 2023: 229-234 - 2022
- [j133]Charles C. Rawlins, Sarangapani Jagannathan:
An Intelligent Distributed Ledger Construction Algorithm for IoT. IEEE Access 10: 10838-10851 (2022) - [j132]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
Inference-aware convolutional neural network pruning. Future Gener. Comput. Syst. 135: 44-56 (2022) - [j131]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
Heuristic-based automatic pruning of deep neural networks. Neural Comput. Appl. 34(6): 4889-4903 (2022) - [j130]Ravi Prakash, Laxmidhar Behera, Santhakumar Mohan, Sarangapani Jagannathan:
Dual-Loop Optimal Control of a Robot Manipulator and Its Application in Warehouse Automation. IEEE Trans Autom. Sci. Eng. 19(1): 262-279 (2022) - [j129]Krishnan Raghavan, Sarangapani Jagannathan, V. A. Samaranayake:
A Game Theoretic Approach for Addressing Domain-Shift in Big-Data. IEEE Trans. Big Data 8(6): 1610-1621 (2022) - [j128]Vignesh Narayanan, Hamidreza Modares, Sarangapani Jagannathan, Frank L. Lewis:
Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems. IEEE Trans. Cybern. 52(3): 1936-1946 (2022) - [j127]Jinna Li, Jinliang Ding, Tianyou Chai, Frank L. Lewis, Sarangapani Jagannathan:
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty. IEEE Trans. Neural Networks Learn. Syst. 33(1): 270-280 (2022) - [j126]Rohollah Moghadam, Pappa Natarajan, Sarangapani Jagannathan:
Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4840-4850 (2022) - [c187]Rohollah Moghadam, Behzad Farzanegan, Sarangapani Jagannathan, P. Natarajan:
Optimal Adaptive Output Regulation of Uncertain Nonlinear Discrete-time Systems using Lifelong Concurrent Learning. CDC 2022: 2005-2010 - 2021
- [j125]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. Comput. Biol. Medicine 134: 104432 (2021) - [j124]Haifeng Niu, Sarangapani Jagannathan:
Flow-based attack detection and accommodation for networked control systems. Int. J. Control 94(3): 834-847 (2021) - [j123]Dzung Tran, Tansel Yucelen, Sarangapani Jagannathan, David W. Casbeer:
Distributed coestimation in heterogeneous sensor networks. Int. J. Control 94(8): 2032-2046 (2021) - [j122]Raghavan Krishnan, Shweta Garg, Sarangapani Jagannathan, V. A. Samaranayake:
Distributed Min-Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4323-4333 (2021) - [i2]Raghavan Krishnan, Vignesh Narayanan, Jagannathan Sarangapani:
Cooperative Deep Q-learning Framework for Environments Providing Image Feedback. CoRR abs/2110.15305 (2021) - 2020
- [j121]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
A comprehensive survey on model compression and acceleration. Artif. Intell. Rev. 53(7): 5113-5155 (2020) - [j120]John Daniel Peterson, Tansel Yucelen, Jagannathan Sarangapani, Eduardo L. Pasiliao:
Active-Passive Dynamic Consensus Filters With Reduced Information Exchange and Time-Varying Agent Roles. IEEE Trans. Control. Syst. Technol. 28(3): 844-856 (2020) - [j119]Ravi Prakash, Laxmidhar Behera, Santhakumar Mohan, Sarangapani Jagannathan:
Dynamic Trajectory Generation and a Robust Controller to Intercept a Moving Ball in a Game Setting. IEEE Trans. Control. Syst. Technol. 28(4): 1418-1432 (2020) - [j118]Haifeng Niu, Chandreyee Bhowmick, Sarangapani Jagannathan:
Attack Detection and Approximation in Nonlinear Networked Control Systems Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(1): 235-245 (2020) - [j117]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1763-1770 (2020) - [c186]Rohollah Moghadam, Sarangapani Jagannathan:
Optimal Control of Linear Continuous-time Systems in the Presence of State and Input Delays with Application to a Chemical Reactor. ACC 2020: 999-1004 - [c185]Akhilesh Raj, Sarangapani Jagannathan, Tansel Yucelen:
Distributed Adaptive State Estimation and Tracking Scheme for Nonlinear Systems using Active Passive Sensor Networks. ACC 2020: 2587-2592 - [c184]Chandreyee Bhowmick, Sarangapani Jagannathan:
Availability-Resilient Control of Uncertain Linear Stochastic Networked Control Systems. ACC 2020: 4016-4021 - [c183]Rohollah Moghadam, Sarangapani Jagannathan:
Optimal Adaptive Regulation of Uncertain Linear Continuous-time Systems with State and Input Delays. CDC 2020: 132-137 - [c182]Rohollah Moghadam, Pappa Natarajan, Sarangapani Jagannathan:
Multilayer Neural Network-based Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-time Systems. CDC 2020: 2204-2209 - [c181]Rohollah Moghadam, Pappa Natarajan, Raghavan Krishnan, Sarangapani Jagannathan:
Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems. IJCNN 2020: 1-6 - [p1]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error Driven Learning for Classification in Applications Generating Big-Data. Development and Analysis of Deep Learning Architectures 2020: 1-29
2010 – 2019
- 2019
- [j116]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics. Big Data Res. 18 (2019) - [j115]Haifeng Niu, Avimanyu Sahoo, Chandreyee Bhowmick, Sarangapani Jagannathan:
An optimal hybrid learning approach for attack detection in linear networked control systems. IEEE CAA J. Autom. Sinica 6(6): 1404-1416 (2019) - [j114]Haci Mehmet Guzey, Travis Dierks, Sarangapani Jagannathan, Levent Acar:
Modified Consensus-based Output Feedback Control of Quadrotor UAV Formations Using Neural Networks. J. Intell. Robotic Syst. 94(1): 283-300 (2019) - [j113]Bo Fan, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Output-Constrained Control of Nonaffine Multiagent Systems With Partially Unknown Control Directions. IEEE Trans. Autom. Control. 64(9): 3936-3942 (2019) - [j112]Wenchao Meng, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Distributed Control of High-Order Nonlinear Input Constrained Multiagent Systems Using a Backstepping-Free Method. IEEE Trans. Cybern. 49(11): 3923-3933 (2019) - [j111]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems. IEEE Trans. Ind. Electron. 66(7): 5433-5440 (2019) - [j110]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data. IEEE Trans. Knowl. Data Eng. 31(12): 2249-2261 (2019) - [j109]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan, Koshy George:
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1512-1522 (2019) - [j108]Vignesh Narayanan, Sarangapani Jagannathan, Kannan Ramkumar:
Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1651-1658 (2019) - [c180]John Daniel Peterson, Tansel Yucelen, Sarangapani Jagannathan:
Active-Passive Dynamic Consensus Filters for Linear Time-Invariant Multiagent Systems. ACC 2019: 4683-4688 - [c179]Akhilesh Raj, Sarangapani Jagannathan, Tansel Yucelen:
Distributed State Estimation by Using Active-Passive Sensor Networks. ACC 2019: 4689-4694 - [c178]Akhilesh Raj, Sarangapani Jagannathan, Tansel Yucelen:
Event-triggered Adaptive Distributed State Estimation by Using Active-Passive Sensor Networks. ACC 2019: 4695-4700 - [c177]Haifeng Niu, Avimanyu Sahoo, Chandreyee Bhowmick, Sarangapani Jagannathan:
Attack Detection in Linear Networked Control Systems by Using Learning Methodology. CCTA 2019: 148-153 - [c176]Chandreyee Bhowmick, Sarangapani Jagannathan:
Detection of Sensor Attacks in Uncertain Stochastic Linear Systems. CCTA 2019: 706-711 - [c175]Chandreyee Bhowmick, Sarangapani Jagannathan:
Detection and Mitigation of Attacks in Nonlinear Stochastic System Using Modified χ2 Detector. CDC 2019: 139-144 - [c174]Rohollah Moghadam, Sarangapani Jagannathan:
Approximate Optimal Adaptive Control of Partially Unknown Linear Continuous-time Systems with State Delay. CDC 2019: 1985-1990 - [c173]Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan:
Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems. ICPHM 2019: 1-8 - 2018
- [j107]Eyad Taqieddin, Hiba Al-Dahoud, Haifeng Niu, Jagannathan Sarangapani:
Tag Ownership Transfer in Radio Frequency Identification Systems: A Survey of Existing Protocols and Open Challenges. IEEE Access 6: 32117-32155 (2018) - [j106]Balaje T. Thumati, Sarangapani Jagannathan:
Authors' Reply to "Comments on "A Novel Fault Diagnosis and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator"". IEEE Trans. Control. Syst. Technol. 26(1): 377-378 (2018) - [j105]Bo Fan, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Asymptotic Tracking Controller Design for Nonlinear Systems With Guaranteed Performance. IEEE Trans. Cybern. 48(7): 2001-2011 (2018) - [j104]Vignesh Narayanan, Sarangapani Jagannathan:
Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration. IEEE Trans. Cybern. 48(9): 2510-2519 (2018) - [j103]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary Control of Linear Uncertain 1-D Parabolic PDE Using Approximate Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1213-1225 (2018) - [j102]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Output Feedback-Based Boundary Control of Uncertain Coupled Semilinear Parabolic PDE Using Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1263-1274 (2018) - [j101]Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan:
Event-Sampled Direct Adaptive NN Output- and State-Feedback Control of Uncertain Strict-Feedback System. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1850-1863 (2018) - [j100]Vignesh Narayanan, Sarangapani Jagannathan:
Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2846-2856 (2018) - [j99]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary Control of 2-D Burgers' PDE: An Adaptive Dynamic Programming Approach. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3669-3681 (2018) - [c172]Dzung Tran, Tansel Yucelen, Sarangapani Jagannathan, David W. Casbeer:
Distributed Coestimation in Heterogeneous Sensor Networks with Time-Varying Active and Passive Node Roles. ACC 2018: 1033-1038 - [c171]Ali Albattat, Tansel Yucelen, Sarangapani Jagannathan:
An Observer-Free Output Feedback Cooperative Control Architecture for Linear Multiagent Systems with Event-Triggering. ACC 2018: 1647-1652 - [c170]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach. ACC 2018: 3441-3446 - [c169]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
A Minimax Approach for Classification with Big-data. IEEE BigData 2018: 1437-1444 - [c168]Shweta Garg, Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification. IEEE BigData 2018: 1587-1592 - [c167]Abdul Ghafoor, S. N. Balakrishnan, Sarangapani Jagannathan, Tansel Yucelen:
Event Triggered Neuro-Adaptive Controller (ETNAC) Design for Uncertain Linear Systems. CDC 2018: 2217-2222 - [c166]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games. CDC 2018: 2872-2877 - [c165]Haifeng Niu, Chandreyee Bhowmick, Sarangapani Jagannathan:
A Linear Matrix Inequality Based Attack Detection Approach for Networked Control Systems. CDC 2018: 5470-5475 - [c164]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata. INNS Conference on Big Data 2018: 81-88 - [c163]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error Driven Learning for Deep Neural Networks with Applications to Bigdata. INNS Conference on Big Data 2018: 89-95 - [c162]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Adaptive Optimal Distributed Control of Linear Interconnected Systems. SSCI 2018: 1441-1446 - [c161]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. SSCI 2018: 1447-1452 - 2017
- [j98]Dzung Tran, Tansel Yucelen, Selahattin Burak Sarsilmaz, Sarangapani Jagannathan:
Distributed Input and State Estimation Using Local Information in Heterogeneous Sensor Networks. Frontiers Robotics AI 4: 30 (2017) - [j97]Haci Mehmet Guzey, Travis Dierks, Sarangapani Jagannathan, Levent Acar:
Hybrid Consensus-based Control of Nonholonomic Mobile Robot Formation. J. Intell. Robotic Syst. 88(1): 181-200 (2017) - [j96]Avimanyu Sahoo, Sarangapani Jagannathan:
Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming. IEEE Trans. Cybern. 47(2): 425-438 (2017) - [j95]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 28(3): 639-652 (2017) - [j94]Wenchao Meng, Qinmin Yang, Jagannathan Sarangapani, Youxian Sun:
Distributed Control of Nonlinear Multiagent Systems With Asymptotic Consensus. IEEE Trans. Syst. Man Cybern. Syst. 47(5): 749-757 (2017) - [c160]Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan:
Event-sampled control of quadrotor unmanned aerial vehicle using neural networks. ACC 2017: 2956-2961 - [c159]Haci Mehmet Guzey, Vignesh Narayanan, Sarangapani Jagannathan, Travis Dierks, Levent Acar:
Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations. ACC 2017: 3194-3199 - [c158]Dung Tran, Tansel Yucelen, Sarangapani Jagannathan:
On local design and execution of a distributed input and state estimation architecture for heterogeneous sensor networks. ACC 2017: 3874-3879 - [c157]John Daniel Peterson, Tansel Yucelen, Sarangapani Jagannathan, Eduardo Pasiliao:
Event-triggered active-passive dynamic consensus filters. ACC 2017: 3900-3905 - [c156]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Deep learning inspired prognostics scheme for applications generating big data. IJCNN 2017: 3296-3302 - [c155]Vignesh Narayanan, Sarangapani Jagannathan:
Online reinforcement with exploration for distributed control. IJCNN 2017: 4022-4027 - [c154]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Optimal sampling and regulation of uncertain interconnected linear continuous time systems. SSCI 2017: 1-6 - [c153]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Optimal event-triggered control of uncertain linear networked control systems: A co-design approach. SSCI 2017: 1-6 - 2016
- [j93]Jia Cai, Hasan Ferdowsi, Jagannathan Sarangapani:
Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems. Autom. 66: 122-131 (2016) - [j92]Haifeng Niu, Eyad Taqieddin, Sarangapani Jagannathan:
EPC Gen2v2 RFID Standard Authentication and Ownership Management Protocol. IEEE Trans. Mob. Comput. 15(1): 137-149 (2016) - [j91]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 27(1): 151-164 (2016) - [j90]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 27(3): 497-509 (2016) - [j89]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1801-1815 (2016) - [c152]Vignesh Narayanan, Sarangapani Jagannathan:
Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems. ACC 2016: 3044-3049 - [c151]Jia Cai, Sarangapani Jagannathan:
Fault isolation in distributed parameter systems modeled by parabolic partial differential equations. ACC 2016: 4356-4361 - [c150]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary control of two dimensional burgers PDE using approximate dynamic programming. ACC 2016: 5243-5248 - [c149]Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan:
Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system. CDC 2016: 3395-3400 - [c148]Vignesh Narayanan, Sarangapani Jagannathan:
Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback. CDC 2016: 5827-5832 - [c147]Haifeng Niu, Sarangapani Jagannathan:
Neural network-based attack detection in nonlinear networked control systems. IJCNN 2016: 4249-4254 - [c146]Vignesh Narayanan, Sarangapani Jagannathan:
Event-sampled adaptive neural network control of robot manipulators. IJCNN 2016: 4941-4946 - 2015
- [j88]Vivek Thotla, Maciej J. Zawodniok, Sarangapani Jagannathan, Mohammad Tayeb Ahmad Ghasr, Sanjeev Agarwal:
Detection and Localization of Multiple R/C Electronic Devices Using Array Detectors. IEEE Trans. Instrum. Meas. 64(1): 241-251 (2015) - [j87]Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan:
Localization of Near-Field Sources in Spatially Colored Noise. IEEE Trans. Instrum. Meas. 64(8): 2302-2311 (2015) - [j86]Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems. IEEE Trans. Neural Networks Learn. Syst. 26(3): 472-485 (2015) - [j85]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 26(3): 486-499 (2015) - [j84]Hao Xu, Qiming Zhao, Sarangapani Jagannathan:
Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1776-1788 (2015) - [j83]Hassan Zargarzadeh, Travis Dierks, Sarangapani Jagannathan:
Optimal Control of Nonlinear Continuous-Time Systems in Strict-Feedback Form. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2535-2549 (2015) - [j82]Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Robust Integral of Neural Network and Error Sign Control of MIMO Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3278-3286 (2015) - [c145]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary control of linear one-dimensional parabolic PDE using neuro-dynamic programming. CCA 2015: 577-582 - [c144]Jia Cai, Hasan Ferdowsi, Sarangapani Jagannathan:
Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs. CCA 2015: 978-983 - [c143]Santiago Elvira-Ceja, Edgar N. Sánchez, Sarangapani Jagannathan:
Stochastic Inverse optimal control of unknown linear networked control system in the presence of random delays and packet losses. ACC 2015: 799-804 - [c142]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. ACC 2015: 1567-1572 - [c141]Haci Mehmet Guzey, Travis Dierks, Sarangapani Jagannathan:
Hybrid consensus-based formation control of agents with second order dynamics. ACC 2015: 4386-4391 - [c140]Raghavan Krishnan, Sarangapani Jagannathan:
Hierarchical Mahalanobis Distance Clustering Based Technique for Prognostics in Applications Generating Big Data. SSCI 2015: 516-521 - [c139]Vignesh Narayanan, Sarangapani Jagannathan:
Distributed Adaptive Optimal Regulation of Uncertain Large-Scale Linear Networked Control Systems Using Q-Learning. SSCI 2015: 587-592 - [c138]Haifeng Niu, Sarangapani Jagannathan:
Optimal Defense and Control for Cyber-Physical Systems. SSCI 2015: 634-639 - 2014
- [j81]Wenchao Meng, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Adaptive neural control of high-order uncertain nonaffine systems: A transformation to affine systems approach. Autom. 50(5): 1473-1480 (2014) - [j80]Hao Xu, Qiming Zhao, Sarangapani Jagannathan:
Optimal regulation of uncertain dynamic systems using adaptive dynamic programming. J. Control. Decis. 1(3): 226-256 (2014) - [j79]Balaje T. Thumati, Miles A. Feinstein, Sarangapani Jagannathan:
A Model-Based Fault Detection and Prognostics Scheme for Takagi-Sugeno Fuzzy Systems. IEEE Trans. Fuzzy Syst. 22(4): 736-748 (2014) - [j78]Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan:
Localization of Near-Field Radio Controlled Unintended Emitting Sources in the Presence of Multipath Fading. IEEE Trans. Instrum. Meas. 63(11): 2696-2703 (2014) - [j77]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization and Tracking of Objects Using Cross-Correlation of Shadow Fading Noise. IEEE Trans. Mob. Comput. 13(10): 2293-2305 (2014) - [j76]Hasan Ferdowsi, Sarangapani Jagannathan, Maciej J. Zawodniok:
An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance. IEEE Trans. Neural Networks Learn. Syst. 25(5): 908-919 (2014) - [c137]Behzad Talaei, Hao Xu, Sarangapani Jagannathan:
Neural network dynamic progamming constrained control of distributed parameter systems governed by parabolic partial differential equations with application to diffusion-reaction processes. ISIC 2014: 1861-1866 - [c136]Haci Mehmet Guzey, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive optimal consensus control of leaderless networked mobile robots. ADPRL 2014: 1-6 - [c135]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based optimal regulator design for nonlinear networked control systems. ADPRL 2014: 1-8 - [c134]Hao Xu, Sarangapani Jagannathan:
Model-free Q-learning over finite horizon for uncertain linear continuous-time systems. ADPRL 2014: 1-6 - [c133]Hassan Zargarzadeh, Sarangapani Jagannathan, James A. Drallmeier:
Extremum-seeking for nonlinear discrete-time systems with application to HCCI engines. ACC 2014: 861-866 - [c132]Hao Xu, Qiming Zhao, Travis Dierks, Sarangapani Jagannathan:
Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems. ACC 2014: 1243-1248 - [c131]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. ACC 2014: 2017-2022 - [c130]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback. ACC 2014: 4643-4648 - [c129]Hasan Ferdowsi, Sarangapani Jagannathan:
Fault diagnosis of a class of distributed parameter systems modeled by parabolic partial differential equations. ACC 2014: 5434-5439 - [c128]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan, Travis Dierks:
Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. CDC 2014: 1227-1232 - [c127]Avimanyu Sahoo, Sarangapani Jagannathan:
Event-triggered optimal regulation of uncertain linear discrete-time systems by using Q-learning scheme. CDC 2014: 1233-1238 - [c126]Jia Cai, Hasan Ferdowsi, Sarangapani Jagannathan:
Model-based fault diagnosis and prediction for a class of distributed parameter systems. CDC 2014: 5758-5763 - [c125]Balaje T. Thumati, Jagannathan Sarangapani:
A fault prediction scheme for Takagi-Sugeno fuzzy systems with immeasurable premise variables and disturbance. CDC 2014: 6758-6763 - [c124]Behzad Talaei, Hao Xu, Sarangapani Jagannathan:
Near optimal boundary control of distributed parameter systems modeled as parabolic pdes by using finite difference neural network approximation. CDC 2014: 6776-6781 - [c123]Hao Xu, Sarangapani Jagannathan:
Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint. IJCNN 2014: 239-244 - [c122]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data. IJCNN 2014: 3671-3676 - [c121]Haifeng Niu, Sarangapani Jagannathan, Eyad Salah Taqieddin:
A Gen2v2 compliant RFID authentication and ownership management protocol. LCN 2014: 331-336 - [c120]Haifeng Niu, Sarangapani Jagannathan:
A cross layer routing scheme for passive RFID tag-to-tag communication. LCN 2014: 438-441 - 2013
- [j75]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Fixed Final Time Optimal Adaptive Control of Linear Discrete-Time Systems in Input-Output form. J. Artif. Intell. Soft Comput. Res. 3(3): 175 (2013) - [j74]Balaje T. Thumati, Gary R. Halligan, Sarangapani Jagannathan:
A Novel Fault Diagnostics and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator. IEEE Trans. Control. Syst. Technol. 21(3): 569-578 (2013) - [j73]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Neural Network-Based Optimal Control of Mobile Robot Formations With Reduced Information Exchange. IEEE Trans. Control. Syst. Technol. 21(4): 1407-1415 (2013) - [j72]Shahab Mehraeen, Travis Dierks, Sarangapani Jagannathan, Mariesa L. Crow:
Zero-Sum Two-Player Game Theoretic Formulation of Affine Nonlinear Discrete-Time Systems Using Neural Networks. IEEE Trans. Cybern. 43(6): 1641-1655 (2013) - [j71]Mohammad Tayeb Ahmad Ghasr, Vivek Thotla, Maciej J. Zawodniok, Jagannathan Sarangapani:
Detection of Super Regenerative Receiver Using Amplitude Modulated Stimulation. IEEE Trans. Instrum. Meas. 62(7): 2029-2036 (2013) - [j70]Jake Hertenstein, Sarangapani Jagannathan:
Simulation and Detection of Unintended Electromagnetic Emissions From Super-Regenerative Receivers. IEEE Trans. Instrum. Meas. 62(7): 2093-2100 (2013) - [j69]Vivek Thotla, Mohammad Tayeb Ahmad Ghasr, Maciej J. Zawodniok, Sarangapani Jagannathan, Sanjeev Agarwal:
Detection of Super-Regenerative Receivers Using Hurst Parameter. IEEE Trans. Instrum. Meas. 62(11): 3006-3014 (2013) - [j68]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization of RFID Tags Using Stochastic Tunneling. IEEE Trans. Mob. Comput. 12(6): 1225-1235 (2013) - [j67]Hao Xu, Sarangapani Jagannathan:
Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 24(3): 471-484 (2013) - [j66]David Nodland, Hassan Zargarzadeh, Sarangapani Jagannathan:
Neural Network-Based Optimal Adaptive Output Feedback Control of a Helicopter UAV. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1061-1073 (2013) - [c119]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. ISIC 2013: 35-40 - [c118]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Finite-horizon optimal adaptive neural network control of uncertain nonlinear discrete-time systems. ISIC 2013: 41-46 - [c117]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Finite-horizon optimal control design for uncertain linear discrete-time systems. ADPRL 2013: 6-12 - [c116]Hao Xu, Sarangapani Jagannathan:
Finite horizon stochastic optimal control of uncertain linear networked control system. ADPRL 2013: 24-30 - [c115]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data. ACC 2013: 5672-5677 - [c114]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics. ACC 2013: 6418-6423 - [c113]Haifeng Niu, Sarangapani Jagannathan:
High memory passive RFID tags with multimodal sensor design and application to asset monitoring in-transit. I2MTC 2013: 1615-1619 - [c112]Vivek Thotla, Maciej J. Zawodniok, Sarangapani Jagannathan, Sanjeev Agarwal:
Correlation based detection and localization of R/C electronic devices using array detectors. I2MTC 2013: 1636-1639 - [c111]Ivo Grondman, Hao Xu, Sarangapani Jagannathan, Robert Babuska:
Solutions to finite horizon cost problems using actor-critic reinforcement learning. IJCNN 2013: 1-7 - [c110]Hao Xu, Sarangapani Jagannathan:
Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems. IJCNN 2013: 1-7 - [c109]Qiming Zhao, Hao Xu, Travis Dierks, Sarangapani Jagannathan:
Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems. IJCNN 2013: 1-6 - [i1]Hao Xu, Sarangapani Jagannathan:
Finite Horizon Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties. CoRR abs/1302.1396 (2013) - 2012
- [j65]Hao Xu, Sarangapani Jagannathan, Frank L. Lewis:
Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses. Autom. 48(6): 1017-1030 (2012) - [j64]Travis Dierks, Sarangapani Jagannathan:
Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1118-1129 (2012) - [j63]Priya Kasirajan, Carl Larsen, Sarangapani Jagannathan:
A new data aggregation scheme via adaptive compression for wireless sensor networks. ACM Trans. Sens. Networks 9(1): 5:1-5:26 (2012) - [j62]Qinmin Yang, Sarangapani Jagannathan:
Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators. IEEE Trans. Syst. Man Cybern. Part B 42(2): 377-390 (2012) - [c108]Hasan Ferdowsi, Deepthi L. Raja, Sarangapani Jagannathan:
A decentralized fault prognosis scheme for nonlinear interconnected discrete-time systems. ACC 2012: 5900-5905 - [c107]Shahab Mehraeen, Sarangapani Jagannathan:
Decentralized adaptive neural network state and output feedback control of a class of interconnected nonlinear discrete-time systems. ACC 2012: 6406-6411 - [c106]Hassan Zargarzadeh, Travis Dierks, Sarangapani Jagannathan:
State and output feedback-based adaptive optimal control of nonlinear continuous-time systems in strict feedback form. ACC 2012: 6412-6417 - [c105]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal controller design for unknown networked control system under TCP. ACC 2012: 6503-6508 - [c104]Hassan Zargarzadeh, Travis Dierks, Sarangapani Jagannathan:
Optimal adaptive control of nonlinear continuous-time systems in strict feedback form with unknown internal dynamics. CDC 2012: 4127-4132 - [c103]Travis Dierks, Sarangapani Jagannathan:
A self-tuning optimal controller for affine nonlinear continuous-time systems with unknown internal dynamics. CDC 2012: 5392-5397 - [c102]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Optimal adaptive controller scheme for uncertain quantized linear discrete-time system. CDC 2012: 6132-6137 - [c101]Eyad Taqieddin, Jagannathan Sarangapani:
Vulnerability analysis of two ultra-lightweight RFID authentication protocols: RAPP and gossamer. ICITST 2012: 80-86 - [c100]Hasan Ferdowsi, Deepthi L. Raja, Sarangapani Jagannathan:
A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems. IJCNN 2012: 1-7 - [c99]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations. IJCNN 2012: 1-7 - [c98]Hao Xu, Sarangapani Jagannathan:
A cross layer approach to the novel distributed scheduling protocol and event-triggered controller design for Cyber Physical Systems. LCN 2012: 232-235 - 2011
- [j61]Can Saygin, Jagannathan Sarangapani:
Radio Frequency Identification (RFID) enabling lean manufacturing. Int. J. Manuf. Res. 6(4): 321-336 (2011) - [j60]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Discrete-Time Optimal Control of Nonholonomic Mobile Robot Formations Using Linearly Parameterized Neural Networks. Int. J. Robotics Autom. 26(1) (2011) - [j59]Behdis Eslamnour, Sarangapani Jagannathan, Maciej J. Zawodniok:
Dynamic Channel Allocation in Wireless Networks Using Adaptive Learning Automata. Int. J. Wirel. Inf. Networks 18(4): 295-308 (2011) - [j58]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized Dynamic Surface Control of Large-Scale Interconnected Systems in Strict-Feedback Form Using Neural Networks With Asymptotic Stabilization. IEEE Trans. Neural Networks 22(11): 1709-1722 (2011) - [j57]Shahab Mehraeen, Sarangapani Jagannathan:
Decentralized Optimal Control of a Class of Interconnected Nonlinear Discrete-Time Systems by Using Online Hamilton-Jacobi-Bellman Formulation. IEEE Trans. Neural Networks 22(11): 1757-1769 (2011) - [j56]Ahmet Soylemezoglu, Sarangapani Jagannathan, Can Saygin:
Mahalanobis-Taguchi System as a Multi-Sensor Based Decision Making Prognostics Tool for Centrifugal Pump Failures. IEEE Trans. Reliab. 60(4): 864-878 (2011) - [c97]Balaje T. Thumati, Miles A. Feinstein, James W. Fonda, Alfred Turnbull, Fay J. Weaver, Mark E. Calkins, Sarangapani Jagannathan:
An online model-based fault diagnosis scheme for HVAC systems. CCA 2011: 70-75 - [c96]Gary R. Halligan, Balaje T. Thumati, Sarangapani Jagannathan:
Artificial immune system-based diagnostics and prognostics scheme and its experimental verification. CCA 2011: 958-963 - [c95]Hao Xu, Sarangapani Jagannathan:
Model-free H∞ stochastic optimal design for unknown linear networked control system zero-sum games via Q-learning. ISIC 2011: 198-203 - [c94]Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
NN/RISE-based asymptotic tracking control of uncertain nonlinear systems. ISIC 2011: 1361-1366 - [c93]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Near optimal control of mobile robot formations. ADPRL 2011: 234-241 - [c92]Hassan Zargarzadeh, Sarangapani Jagannathan, James A. Drallmeier:
Online near optimal control of unknown nonaffine systems with application to HCCI engines. ADPRL 2011: 258-263 - [c91]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal control of unknown linear networked control system using Q-learning methodology. ACC 2011: 2819-2824 - [c90]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal control design for nonlinear networked control system via neuro dynamic programming using input-output measurements. CDC/ECC 2011: 136-141 - [c89]Hasan Ferdowsi, Sarangapani Jagannathan:
A unified model-based fault diagnosis scheme for nonlinear discrete-time systems with additive and multiplicative faults. CDC/ECC 2011: 1570-1575 - [c88]David Nodland, Hassan Zargarzadeh, Sarangapani Jagannathan:
Neural network-based optimal control for trajectory tracking of a helicopter UAV. CDC/ECC 2011: 3876-3881 - [c87]Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Robust integral of neural network and sign of tracking error control of uncertain nonlinear affine systems using state and output feedback. CDC/ECC 2011: 6765-6770 - [c86]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization of Objects Using Cross-Correlation of Shadow Fading Noise and Copulas. GLOBECOM 2011: 1-5 - [c85]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization of objects using stochastic tunneling. WCNC 2011: 587-592 - 2010
- [j55]Can Saygin, Deepak Mohan, Jagannathan Sarangapani:
Real-time detection of grip length during fastening of bolted joints: a Mahalanobis-Taguchi system (MTS) based approach. J. Intell. Manuf. 21(4): 377-392 (2010) - [j54]Shahab Mehraeen, Sarangapani Jagannathan, Keith A. Corzine:
Energy Harvesting From Vibration With Alternate Scavenging Circuitry and Tapered Cantilever Beam. IEEE Trans. Ind. Electron. 57(3): 820-830 (2010) - [j53]Travis Dierks, Sarangapani Jagannathan:
Output feedback control of a quadrotor UAV using neural networks. IEEE Trans. Neural Networks 21(1): 50-66 (2010) - [j52]Balaje T. Thumati, Sarangapani Jagannathan:
A model-based fault-detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees. IEEE Trans. Neural Networks 21(3): 404-423 (2010) - [j51]Travis Dierks, Sarangapani Jagannathan:
Neural Network Output Feedback Control of Robot Formations. IEEE Trans. Syst. Man Cybern. Part B 40(2): 383-399 (2010) - [c84]Travis Dierks, Sarangapani Jagannathan:
Optimal control of affine nonlinear continuous-time systems. ACC 2010: 1568-1573 - [c83]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized state feedback and near optimal adaptive neural network control of interconnected nonlinear discrete-time systems. CDC 2010: 114-119 - [c82]Travis Dierks, Sarangapani Jagannathan:
Optimal control of affine nonlinear continuous-time systems using an online Hamilton-Jacobi-Isaacs formulation. CDC 2010: 3048-3053 - [c81]James W. Fonda, Sarangapani Jagannathan, Steve E. Watkins:
Robust neural network RISE observer based fault diagnostics and prediction. IJCNN 2010: 1-8 - [c80]Shahab Mehraeen, Travis Dierks, Sarangapani Jagannathan, Mariesa L. Crow:
Zero-sum two-player game theoretic formulation of affine nonlinear discrete-time systems using neural networks. IJCNN 2010: 1-8 - [c79]Shahab Mehraeen, Sarangapani Jagannathan:
Decentralized nearly optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Bellman-Jacobi formulation. IJCNN 2010: 1-8 - [c78]Behdis Eslamnour, Sarangapani Jagannathan:
Adaptive Routing Scheme for Emerging Wireless Ad Hoc Networks. SRDS 2010: 318-322 - [c77]Mohammed Rana Basheer, Sarangapani Jagannathan:
A New Receiver Placement Scheme Using Delaunay Refinement-Based Triangulation. WCNC 2010: 1-6 - [c76]Priya Kasirajan, Carl Larsen, Sarangapani Jagannathan:
A New Adaptive Compression Scheme for Data Aggregation in Wireless Sensor Networks. WCNC 2010: 1-6
2000 – 2009
- 2009
- [j50]James W. Fonda, Maciej J. Zawodniok, Sarangapani Jagannathan, Steve E. Watkins:
Adaptive Distributed Fair Scheduling for Multiple Channels in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 5(6): 824-833 (2009) - [j49]Jonathan Blake Vance, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neuro emission controller for minimising cyclic dispersion in spark ignition engines with EGR levels. Int. J. Gen. Syst. 38(1): 45-72 (2009) - [j48]Reghu Anguswamy, Can Saygin, Sarangapani Jagannathan:
In-process detection of fastener grip length using embedded mobile wireless sensor network-based pull-type tools. Int. J. Manuf. Res. 4(2): 154-170 (2009) - [j47]Tim Landstra, Sarangapani Jagannathan, Maciej J. Zawodniok:
Energy-efficient Hybrid Key Management Protocol for Wireless Sensor Networks. Int. J. Netw. Secur. 9(2): 121-134 (2009) - [j46]Travis Dierks, Sarangapani Jagannathan:
Asymptotic Adaptive Neural Network Tracking Control of Nonholonomic Mobile Robot Formations. J. Intell. Robotic Syst. 56(1-2): 153-176 (2009) - [j45]Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence. Neural Networks 22(5-6): 851-860 (2009) - [j44]Ahmet Soylemezoglu, Maciej J. Zawodniok, Sarangapani Jagannathan:
RFID-Based Smart Freezer. IEEE Trans. Ind. Electron. 56(7): 2347-2356 (2009) - [j43]Travis Dierks, Sarangapani Jagannathan:
Neural Network Control of Mobile Robot Formations Using RISE Feedback. IEEE Trans. Syst. Man Cybern. Part B 39(2): 332-347 (2009) - [j42]Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1162-1179 (2009) - [c75]Balaje T. Thumati, Sarangapani Jagannathan:
Neural network control of a class of nonlinear discrete time systems with asymptotic stability guarantees. ACC 2009: 2934-2939 - [c74]Travis Dierks, Sarangapani Jagannathan:
Neural network control of quadrotor UAV formations. ACC 2009: 2990-2996 - [c73]Balaje T. Thumati, Sarangapani Jagannathan:
A model based fault detection and accommodation scheme for nonlinear discrete-time systems with asymptotic stability guarantee. ACC 2009: 4988-4993 - [c72]Travis Dierks, Sarangapani Jagannathan:
Optimal tracking control of affine nonlinear discrete-time systems with unknown internal dynamics. CDC 2009: 6750-6755 - [c71]Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems. IJCNN 2009: 711-716 - [c70]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control. IJCNN 2009: 2058-2064 - [c69]Mohammed Rana Basheer, Sarangapani Jagannathan:
R-Factor: A New Parameter to Enhance Location Accuracy in RSSI Based Real-time Location Systems. SECON 2009: 1-9 - [c68]Behdis Eslamnour, Maciej J. Zawodniok, Sarangapani Jagannathan:
Dynamic channel allocation in wireless networks using adaptive learning automata. WCNC 2009: 1836-1841 - [c67]Reghu Anguswamy, Maciej J. Zawodniok, Sarangapani Jagannathan:
A multi-interface multi-channel routing (MMCR) protocol for wireless ad hoc networks. WCNC 2009: 2338-2343 - 2008
- [j41]Anil Ramachandran, Sarangapani Jagannathan:
Use of Frequency Diversity in Signal Strength Based Location Determination? Ad Hoc Sens. Wirel. Networks 5(3-4): 203-233 (2008) - [j40]Jonathan Blake Vance, Sarangapani Jagannathan:
Discrete-time neural network output feedback control of nonlinear discrete-time systems in non-strict form. Autom. 44(4): 1020-1027 (2008) - [j39]Kainan Cha, Anil Ramachandran, Sarangapani Jagannathan:
Adaptive and Probabilistic Power Control Algorithms for RFID Reader Networks. Int. J. Distributed Sens. Networks 4(4): 347-368 (2008) - [j38]Eyad Taqieddin, Sarangapani Jagannathan, Ann Miller:
Optimal Energy-Delay Routing Protocol with Trust Levels for Wireless Ad Hoc Networks. Int. J. Netw. Secur. 7(2): 207-217 (2008) - [j37]Jonathan Blake Vance, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks. IEEE Trans. Control. Syst. Technol. 16(2): 214-228 (2008) - [j36]Zheng Chen, Sarangapani Jagannathan:
Generalized Hamilton-Jacobi-Bellman Formulation -Based Neural Network Control of Affine Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks 19(1): 90-106 (2008) - [j35]Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation. IEEE Trans. Neural Networks 19(8): 1369-1388 (2008) - [j34]Sarangapani Jagannathan, Pingan He:
Neural-Network-Based State Feedback Control of a Nonlinear Discrete-Time System in Nonstrict Feedback Form. IEEE Trans. Neural Networks 19(12): 2073-2087 (2008) - [j33]Qinmin Yang, Sarangapani Jagannathan:
A Suite of Robust Controllers for the Manipulation of Microscale Objects. IEEE Trans. Syst. Man Cybern. Part B 38(1): 113-125 (2008) - [j32]Qinmin Yang, Jonathan Blake Vance, Sarangapani Jagannathan:
Control of Nonaffine Nonlinear Discrete-Time Systems Using Reinforcement-Learning-Based Linearly Parameterized Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 38(4): 994-1001 (2008) - [c66]Balaje T. Thumati, Sarangapani Jagannathan:
A model based fault detection and prognostic scheme for uncertain nonlinear discrete-time systems. CDC 2008: 392-397 - [c65]Travis Dierks, Sarangapani Jagannathan:
Neural network output feedback control of a quadrotor UAV. CDC 2008: 3633-3639 - [c64]James W. Fonda, Maciej J. Zawodniok, Sarangapani Jagannathan, Al Salour, Donald Miller Jr.:
Missouri S&T Mote-Based Demonstration of Energy Monitoring Solution for Network Enabled Manufacturing Using Wireless Sensor Networks (WSN). IPSN 2008: 559-560 - [c63]Balaje T. Thumati, Jagannathan Sarangapani:
A model based fault detection scheme for nonlinear multivariable discrete-time systems. SMC 2008: 1978-1983 - [c62]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Novel dynamic representation and control of power networks embedded with FACTS devices. SMC 2008: 3171-3176 - [c61]James W. Fonda, Sarangapani Jagannathan, Steve E. Watkins:
Joint adaptive distributed rate and power control for wireless networks. SMC 2008: 3216-3221 - 2007
- [j31]Maciej J. Zawodniok, Sarangapani Jagannathan:
Energy-efficient Rate Adaptation MAC Protocol for Ad Hoc Wireless Networks. Int. J. Wirel. Inf. Networks 14(4): 251-263 (2007) - [j30]Kainan Cha, Sarangapani Jagannathan, David J. Pommerenke:
Adaptive Power Control Protocol With Hardware Implementation for Wireless Sensor and RFID Reader Networks. IEEE Syst. J. 1(2): 145-159 (2007) - [j29]Jonathan Blake Vance, Atmika Singh, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels. IEEE Trans. Neural Networks 18(4): 1083-1100 (2007) - [j28]Pingan He, Sarangapani Jagannathan:
Reinforcement Learning Neural-Network-Based Controller for Nonlinear Discrete-Time Systems With Input Constraints. IEEE Trans. Syst. Man Cybern. Part B 37(2): 425-436 (2007) - [j27]Maciej J. Zawodniok, Sarangapani Jagannathan:
Predictive Congestion Control Protocol for Wireless Sensor Networks. IEEE Trans. Wirel. Commun. 6(11): 3955-3963 (2007) - [c60]Travis Dierks, Sarangapani Jagannathan:
Control of Nonholonomic Mobile Robot Formations: Backstepping Kinematics into Dynamics. CCA 2007: 94-99 - [c59]Wenxin Liu, Ganesh K. Venayagamoorthy, Sarangapani Jagannathan, Donald C. Wunsch, Mariesa L. Crow, Li Liu, David A. Cartes:
Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer. CCA 2007: 922-927 - [c58]Carl Larsen, Maciej J. Zawodniok, Sarangapani Jagannathan:
Route Aware Predictive Congestion Control Protocol for Wireless Sensor Networks. ISIC 2007: 13-18 - [c57]Travis Dierks, Sarangapani Jagannathan:
Control of Nonholonomic Mobile Robot Formations Using Neural Networks. ISIC 2007: 132-137 - [c56]Peter Shih, Sarangapani Jagannathan:
Reinforcement Learning based Output-Feedback Controller for Complex Nonlinear Discrete-time Systems. ISIC 2007: 407-412 - [c55]Qinmin Yang, Sarangapani Jagannathan:
Near Optimal Neural Network-based Output Feedback Control of Affine Nonlinear Discrete-Time Systems. ISIC 2007: 578-583 - [c54]Wenxin Liu, Sarangapani Jagannathan, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa L. Crow, Li Liu, David A. Cartes:
Neural Network Based Decentralized Controls of Large Scale Power Systems. ISIC 2007: 676-681 - [c53]Qinmin Yang, Sarangapani Jagannathan:
Online Reinforcement Learning-based Neural Network Controller Design for Affine Nonlinear Discrete-time Systems. ACC 2007: 4774-4779 - [c52]Peter Shih, Jonathan Blake Vance, Sarangapani Jagannathan, Brian C. Kaul, James A. Drallmeier:
Reinforcement Learning based Output-Feedback Control of Nonlinear Nonstrict Feedback Discrete-time Systems with Application to Engines. ACC 2007: 5106-5111 - [c51]Travis Dierks, Sarangapani Jagannathan:
Asymptotic stability of nonholonomic mobile robot formations using multilayer neural networks. CDC 2007: 1944-1950 - [c50]Balaje T. Thumati, Sarangapani Jagannathan:
An online approximator-based fault detection framework for nonlinear discrete-time systems. CDC 2007: 2608-2613 - [c49]Qinmin Yang, Sarangapani Jagannathan:
Online reinforcement learning control of unknown nonaffine nonlinear discrete time systems. CDC 2007: 5942-5947 - [c48]Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines. IJCNN 2007: 396-401 - [c47]Travis Dierks, Sarangapani Jagannathan:
Neural Network Control of Robot Formations using RISE Feedback. IJCNN 2007: 2794-2799 - [c46]James W. Fonda, Maciej J. Zawodniok, Jeffery T. Birt, Sarangapani Jagannathan:
UMR mote-based demonstration of wireless sensor networking protocols using pneumatic testbed. IPSN 2007: 569-570 - [c45]Anil Ramachandran, Sarangapani Jagannathan:
Spatial Diversity in Signal Strength based WLAN Location Determination Systems. LCN 2007: 10-17 - [c44]Anil Ramachandran, Sarangapani Jagannathan:
Use of Frequency Diversity in Signal Strength based WLAN Location Determination Systems. LCN 2007: 117-124 - [c43]Tim Landstra, Maciej J. Zawodniok, Sarangapani Jagannathan:
Energy-Efficient Hybrid Key Management Protocol for Wireless Sensor Networks. LCN 2007: 1009-1016 - 2006
- [j26]Mingsheng Peng, Sarangapani Jagannathan, S. R. Subramanya:
Rate-based end-to-end congestion control of multimedia traffic in packet switched networks. J. High Speed Networks 15(4): 357-378 (2006) - [j25]Sarangapani Jagannathan, Maciej J. Zawodniok, Qingyang Shang:
Distributed power control for cellular networks in the presence of channel uncertainties. IEEE Trans. Wirel. Commun. 5(3): 540-549 (2006) - [c42]Jonathan Blake Vance, Pingan He, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural network-based output feedback controller for lean operation of spark ignition engines. ACC 2006: 1-8 - [c41]Qinmin Yang, Sarangapani Jagannathan:
Nanomanipulation using atomic force microscope with drift compensation. ACC 2006 - [c40]Kainan Cha, Anil Ramachandran, Sarangapani Jagannathan, David Pommerenke:
Decentralized Power Control with Implementation for RFID Networks. CDC 2006: 1858-1863 - [c39]Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes:
Neural Network based Decentralized Excitation Control of Large Scale Power Systems. IJCNN 2006: 1975-1981 - [c38]Atmika Singh, Jonathan Blake Vance, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural Network Control of Spark Ignition Engines with High EGR Levels. IJCNN 2006: 4978-4985 - [c37]Maciej J. Zawodniok, Sarangapani Jagannathan:
Dynamic Programming-based Energy-Efficient Rate Adaptation for Wireless Ad Hoc Networks. LCN 2006: 521-524 - [c36]James W. Fonda, Maciej J. Zawodniok, Sarangapani Jagannathan, Steve E. Watkins:
Adaptive Distributed Fair Scheduling and Its Implementation in Wireless Sensor Networks. SMC 2006: 3382-3387 - 2005
- [j24]Pingan He, Sarangapani Jagannathan:
Neuro-controller for reducing cyclic variation in lean combustion spark ignition engines. Autom. 41(7): 1133-1142 (2005) - [j23]Sarangapani Jagannathan:
Admission controller design for high-speed networks: A hybrid system approach. J. High Speed Networks 14(3): 263-281 (2005) - [j22]Pingan He, Sarangapani Jagannathan:
Reinforcement learning-based output feedback control of nonlinear systems with input constraints. IEEE Trans. Syst. Man Cybern. Part B 35(1): 150-154 (2005) - [c35]Sarangapani Jagannathan:
Decentralized Discrete-Time Neural Network Controller for a Class of Nonlinear Systems with Unknown Interconnections. ISIC 2005: 268-273 - [c34]Sarangapani Jagannathan, Qinmin Yang:
A robust controller for the manipulation of micro scale objects. ACC 2005: 4154-4159 - [c33]Pingan He, Zheng Chen, Sarangapani Jagannathan:
Neural Network-based Control of Nonlinear Discrete-Time Svstems in Non-Strict Form. CDC/ECC 2005: 2580-2585 - [c32]Zheng Chen, Sarangapani Jagannathan:
Neural Network -based Nearly Optimal Hamilton-Jacobi-Bellman Solution for Affine Nonlinear Discrete-Time Systems. CDC/ECC 2005: 4123-4128 - [c31]Maciej J. Zawodniok, Sarangapani Jagannathan:
Energy-efficient rate adaptation MAC protocol for ad hoc wireless networks. IPCCC 2005: 389-394 - 2004
- [j21]Sarangapani Jagannathan, Gustavo Galan:
gripper. IEEE Trans. Neural Networks 15(2): 395-407 (2004) - [c30]Vijayakumar Janardhan, Pingan He, Sarangapani Jagannathan:
Neural network controller for manipulation of micro-scale objects. ISIC 2004: 55-60 - [c29]Sarangapani Jagannathan, Mohammed Hameed:
Adaptive force-balancing control of MEMS gyroscope with actuator limits. ACC 2004: 1862-1867 - [c28]Pingan He, Sarangapani Jagannathan:
Discrete-time neural network output feedback control of nonlinear systems in non-strict feedback form. ACC 2004: 2439-2444 - [c27]Pingan He, Sarangapani Jagannathan:
Reinforcement learning-based output feedback control of nonlinear systems with input constraints. ACC 2004: 2563-2568 - [c26]Wenxin Liu, Sarangapani Jagannathan, Donald C. Wunsch II, Mariesa L. Crow:
Decentralized neural network control of a class of large-scale systems with unknown interconnections. CDC 2004: 4972-4977 - [c25]Niranjan Regatte, Carl Larsen, Sarangapani Jagannathan:
A New Fair Scheduling MAC Protocol for Wireless Sensor Networks. ESA/VLSI 2004: 93-98 - [c24]Sarangapani Jagannathan, Qingyang Shang:
Distributed Power Control For Cellular Networks In the Presence of Rayleigh Fading Channel. INFOCOM 2004: 1055-1066 - [c23]Maciej J. Zawodniok, Sarangapani Jagannathan:
A distributed power control MAC protocol for wireless ad hoc networks. WCNC 2004: 1915-1920 - 2003
- [j20]Sarangapani Jagannathan, Gustavo Galan:
One-layer neural-network controller with preprocessed inputs for autonomous underwater vehicles. IEEE Trans. Veh. Technol. 52(5): 1342-1355 (2003) - [c22]Pingan He, Sarangapani Jagannathan:
Lean combustion stability of spark ignition engines. CCA 2003: 167-172 - [c21]Pingan He, Sarangapani Jagannathan:
Discrete-time neural network control of nonlinear systems in non-strict feedback form. CDC 2003: 5703-5708 - [c20]Pingan He, Sarangapani Jagannathan:
Adaptive critic neural network-based controller for nonlinear systems with input constraints. CDC 2003: 5709-5714 - [c19]S. R. Subramanya, Jagannathan Sarangapani, Mingsheng Peng:
A scheme for fair, rate-based end-to-end congestion control of multimedia traffic in packet switched networks. ICME 2003: 357-360 - [c18]S. R. Subramanya, Mingsheng Peng, Jagannathan Sarangapani:
Rate-Based End-to-End Congestion Control of Multimedia Traffic in Packet Switched Networks. ITCC 2003: 342-346 - 2002
- [j19]Sarangapani Jagannathan, Jayasree Talluri:
Predictive congestion control of ATM networks: multiple sources/single buffer scenario. Autom. 38(5): 815-820 (2002) - [j18]Anthony T. Chronopoulos, S. Ponipireddy, Jagannathan Sarangapani:
Constructing Energy-Efficient Broadcast Trees in Wireless Ad Hoc Networks. Sci. Ann. Cuza Univ. 11: 205-213 (2002) - [j17]Sarangapani Jagannathan, Jayasree Talluri:
Adaptive predictive congestion control of high-speed ATM networks. IEEE Trans. Broadcast. 48(2): 129-139 (2002) - [c17]Sarangapani Jagannathan:
Adaptive critic neural network-based controller for nonlinear systems. ISIC 2002: 303-308 - [c16]Sarangapani Jagannathan, A. Tohmaz, Anthony Theodore Chronopoulos, H. G. Cheung:
Adaptive admission control of multimedia traffic in high-speed networks. ISIC 2002: 728-733 - [c15]Pingan He, Sarangapani Jagannathan, S. N. Balakrishnan:
Adaptive critic-based neural network controller for uncertain nonlinear systems with unknown deadzones. CDC 2002: 955-960 - [c14]Sarangapani Jagannathan, Anthony T. Chronopoulos, S. Ponipireddy:
Distributed power control in wireless communication systems. ICCCN 2002: 493-496 - [c13]Anthony T. Chronopoulos, Jagannathan Sarangapani:
A Distributed Discrete-Time Neural Network Architecture for Pattern Allocation and Control. IPDPS 2002 - [c12]Sarangapani Jagannathan:
A Hybrid System Theoretic Approach for Admission Controller Design in Multimedia Networks. LCN 2002: 150-159 - [c11]Sarangapani Jagannathan:
End to End Congestion Control in High-Speed Networks. LCN 2002: 547-556 - 2001
- [j16]Sarangapani Jagannathan:
Control of a class of nonlinear discrete-time systems using multilayer neural networks. IEEE Trans. Neural Networks 12(5): 1113-1120 (2001) - [c10]Sarangapani Jagannathan, Annie Levesque, Yesh P. Singh:
Adaptive network control of a mobile base with an onboard arm for MARS greenhouse operation. ACC 2001: 606-611 - [c9]Sarangapani Jagannathan, Jayasree Talluri:
Congestion control of ATM networks using multilayer neural network approach: multiple source/single switch scenario. ACC 2001: 3789-3794 - [c8]Gustavo Galan, Sarangapani Jagannathan:
Adaptive critic neural network-based object grasping control using a three-finger gripper. CDC 2001: 3140-3145 - 2000
- [j15]Sarangapani Jagannathan, M. W. Vandegrift, Frank L. Lewis:
Adaptive fuzzy logic control of discrete-time dynamical systems. Autom. 36(2): 229-241 (2000) - [j14]Sarangapani Jagannathan, Frank L. Lewis:
Robust backstepping control of a class of nonlinear systems using fuzzy logic. Inf. Sci. 123(3-4): 223-240 (2000) - [c7]Sarangapani Jagannathan, Jayasree Talluri:
Adaptive traffic rate control of ATM networks. ACC 2000: 1577-1581 - [c6]Sarangapani Jagannathan, G. V. S. Raju:
Remaining useful life prediction of automotive engine oils using MEMS technologies. ACC 2000: 3511-3512 - [c5]Sarangapani Jagannathan, Jayasree Talluri:
Predictive congestion control of ATM networks: multiple sources/single buffer scenario. CDC 2000: 47-52
1990 – 1999
- 1999
- [j13]Sarangapani Jagannathan, Frank L. Lewis:
Feedback linearization of nonlinear systems using fuzzy logic. J. Intell. Fuzzy Syst. 7(2): 107-124 (1999) - [j12]Sarangapani Jagannathan:
Discrete-time CMAC NN control of feedback linearizable nonlinear systems under a persistence of excitation. IEEE Trans. Neural Networks 10(1): 128-137 (1999) - 1998
- [j11]Sarangapani Jagannathan, Sesh Commuri, Frank L. Lewis:
Feedback Linearization using CMAC Neural Networks. Autom. 34(5): 547-557 (1998) - [j10]Sarangapani Jagannathan:
Adaptive Fuzzy Logic Control of Feedback Linearizable Discrete-time Dynamical Systems Under Persistence of Excitation. Autom. 34(11): 1295-1310 (1998) - [j9]Sarangapani Jagannathan, Frank L. Lewis:
Robust Backstepping Control of Robotic Systems Using Neural Networks. J. Intell. Robotic Syst. 23(2-4): 105-128 (1998) - 1997
- [j8]Sarangapani Jagannathan:
Discrete-time fuzzy logic control of a mobile robot with an onboard manipulator. Int. J. Syst. Sci. 28(12): 1195-1209 (1997) - [j7]Sesh Commuri, Sarangapani Jagannathan, Frank L. Lewis:
CMAC neural network control of robot manipulators. J. Field Robotics 14(6): 465-482 (1997) - [c4]Sesh Commuri, Sarangapani Jagannathan:
Modular controls design for robot manipulators using CMAC neural networks. ICRA 1997: 1725-1730 - 1996
- [j6]Sarangapani Jagannathan, Frank L. Lewis:
Robust implicit self-tuning regulator: Convergence and stability. Autom. 32(12): 1629-1644 (1996) - [j5]Sarangapani Jagannathan, Frank L. Lewis:
Identification of nonlinear dynamical systems using multilayered neural networks. Autom. 32(12): 1707-1712 (1996) - [j4]Sarangapani Jagannathan, Frank L. Lewis:
Discrete-time neural net controller for a class of nonlinear dynamical systems. IEEE Trans. Autom. Control. 41(11): 1693-1699 (1996) - [j3]Sarangapani Jagannathan, Frank L. Lewis:
Multilayer discrete-time neural-net controller with guaranteed performance. IEEE Trans. Neural Networks 7(1): 107-130 (1996) - [c3]Sarangapani Jagannathan:
Adaptive control of unknown feedback linearizable systems in discrete-time using neural networks. ICRA 1996: 258-263 - [c2]Sarangapani Jagannathan, Frank L. Lewis:
Discrete-time adaptive fuzzy logic control of robotic systems. ICRA 1996: 2586-2591 - 1994
- [j2]Sarangapani Jagannathan, Frank L. Lewis, Kai Liu:
Motion control and obstacle avoidance of a mobile robot with an onboard manipulator. J. Intell. Manuf. 5(4): 287-302 (1994) - [j1]Sarangapani Jagannathan, S. Q. Zhu, Frank L. Lewis:
Path planning and control of a mobile base with nonholonomic constraints. Robotica 12(6): 529-539 (1994)
1980 – 1989
- 1987
- [c1]Sarangapani Jagannathan:
A model of data backup and recovery in a computer system for functional programming. Formal Description of Programming Concepts 1987: 167-192
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-27 21:21 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
