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ORCIDDeepan Muthirayan
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2020 – today
- 2024
[i28]Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar, Yanning Shen:
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach. CoRR abs/2401.02552 (2024)- 2023
- [j12]Deepan Muthirayan
, Jianjun Yuan, Pramod P. Khargonekar:
Online Convex Optimization With Long-Term Constraints for Predictable Sequences. IEEE Control. Syst. Lett. 7: 979-984 (2023) - [j11]Deepan Muthirayan, Pramod P. Khargonekar:
Memory Augmented Neural Network Adaptive Controllers: Performance and Stability. IEEE Trans. Autom. Control. 68(2): 825-838 (2023) - [c14]Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar:
Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems. CDC 2023: 5039-5046 - [c13]Deepan Muthirayan, Pramod P. Khargonekar:
Online Learning for Incentive-Based Demand Response. CDC 2023: 7956-7961 - [c12]Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar S. Sastry:
Competing Bandits in Time Varying Matching Markets. L4DC 2023: 1020-1031 - [i27]Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning. CoRR abs/2301.13796 (2023) - [i26]Deepan Muthirayan, Pramod P. Khargonekar:
Online Learning for Incentive-Based Demand Response. CoRR abs/2303.15617 (2023) - 2022
- [j10]Arnav Vaibhav Malawade, Shih-Yuan Yu, Brandon Hsu, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Spatiotemporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction. IEEE Internet Things J. 9(12): 9379-9388 (2022) - [j9]Anomadarshi Barua, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Hierarchical Temporal Memory-Based One-Pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids. IEEE Trans. Dependable Secur. Comput. 19(3): 1770-1782 (2022) - [j8]Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Graph Learning for Cognitive Digital Twins in Manufacturing Systems. IEEE Trans. Emerg. Top. Comput. 10(1): 34-45 (2022) - [j7]Shih-Yuan Yu, Arnav Vaibhav Malawade, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions. IEEE Trans. Intell. Transp. Syst. 23(7): 7941-7951 (2022) - [j6]Deepan Muthirayan, Pramod P. Khargonekar:
Online Algorithms for Network Robustness Under Connectivity Constraints. IEEE Trans. Netw. Sci. Eng. 9(4): 2266-2277 (2022) - [c11]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Adaptive Gradient Online Control. ACC 2022: 2136-2141 - [c10]Deepan Muthirayan, Dileep Kalathil, Pramod P. Khargonekar:
Meta-Learning Online Control for Linear Dynamical Systems. CDC 2022: 1435-1440 - [c9]Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
On the Performance of Reinforcement Learning Algorithms for Dynamic Matching of Renewable Energy with Flexible Loads. CDC 2022: 6344-6349 - [c8]Deepan Muthirayan, Jianjun Yuan, Dileep Kalathil, Pramod P. Khargonekar:
Online Learning for Predictive Control with Provable Regret Guarantees. CDC 2022: 6666-6671 - [d1]Brandon Hsu, Shih-Yuan Yu, Arnav V. Malawade, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
SceneGraph-Risk-Assessment dataset. IEEE DataPort, 2022
- [i25]Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar:
Meta-Learning Online Control for Linear Dynamical Systems. CoRR abs/2208.10259 (2022) - [i24]Deepan Muthirayan, Ruijie Du, Yanning Shen, Pramod P. Khargonekar:
Adaptive Control of Unknown Time Varying Dynamical Systems with Regret Guarantees. CoRR abs/2210.11684 (2022) - [i23]Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar Sastry:
Competing Bandits in Time Varying Matching Markets. CoRR abs/2210.11692 (2022) - [i22]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Online Convex Optimization with Long Term Constraints for Predictable Sequences. CoRR abs/2210.16735 (2022) - 2021
- [j5]Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems. IEEE Control. Syst. Lett. 5(3): 995-1000 (2021) - [j4]Arnav V. Malawade, Nathan D. Costa, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems. IEEE Trans. Ind. Informatics 17(12): 7980-7990 (2021) - [j3]Deepan Muthirayan, Dileep M. Kalathil, Sen Li, Kameshwar Poolla, Pravin Varaiya:
Selling Demand Response Using Options. IEEE Trans. Smart Grid 12(1): 279-288 (2021) - [c7]Mohammad Abdullah Al Faruque, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar:
Cognitive Digital Twin for Manufacturing Systems. DATE 2021: 440-445 - [i21]Arnav V. Malawade, Nathan D. Costa, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems. CoRR abs/2102.11450 (2021) - [i20]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Adaptive Gradient Online Control. CoRR abs/2103.08753 (2021) - [i19]Majid Majidi, Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Dynamic Matching Markets in Power Grid: Concepts and Solution using Deep Reinforcement Learning. CoRR abs/2104.05654 (2021) - [i18]Pratyush Muthukumar, Karishma Muthukumar, Deepan Muthirayan, Pramod P. Khargonekar:
Generative Adversarial Imitation Learning for Empathy-based AI. CoRR abs/2105.13328 (2021) - [i17]Deepan Muthirayan, Pramod P. Khargonekar:
Online Algorithms for Network Robustness under Connectivity Constraints. CoRR abs/2106.04037 (2021) - [i16]Deepan Muthirayan, Pramod P. Khargonekar:
Online Learning Robust Control of Nonlinear Dynamical Systems. CoRR abs/2106.04092 (2021) - [i15]Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Graph Learning for Cognitive Digital Twins in Manufacturing Systems. CoRR abs/2109.08632 (2021) - [i14]Arnav V. Malawade, Shih-Yuan Yu, Brandon Hsu, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction. CoRR abs/2111.06123 (2021) - [i13]Deepan Muthirayan, Jianjun Yuan, Dileep M. Kalathil, Pramod P. Khargonekar:
Online Learning for Receding Horizon Control with Provable Regret Guarantees. CoRR abs/2111.15041 (2021) - [i12]Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar:
Online Robust Control of Linear Dynamical Systems with Prediction. CoRR abs/2111.15063 (2021) - 2020
- [j2]Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya:
Mechanism Design for Demand Response Programs. IEEE Trans. Smart Grid 11(1): 61-73 (2020) - [j1]Deepan Muthirayan, Enrique Baeyens, Pratyush Chakraborty, Kameshwar Poolla, Pramod P. Khargonekar:
A Minimal Incentive-Based Demand Response Program With Self Reported Baseline Mechanism. IEEE Trans. Smart Grid 11(3): 2195-2207 (2020) - [c6]Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. ACC 2020: 639-646 - [c5]Anomadarshi Barua, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract. ICCPS 2020: 188-189 - [i11]Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems. CoRR abs/2003.06971 (2020) - [i10]Shih-Yuan Yu, Arnav V. Malawade, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions. CoRR abs/2009.06435 (2020) - [i9]Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar:
Regret Guarantees for Online Receding Horizon Control. CoRR abs/2010.07269 (2020) - [i8]Deepan Muthirayan, Pramod P. Khargonekar:
Meta-Learning Guarantees for Online Receding Horizon Control. CoRR abs/2010.11327 (2020) - [i7]Deepan Muthirayan, Pramod P. Khargonekar:
Cognitive Preadaptation for Resilient Adaptive Control. CoRR abs/2010.13205 (2020)
2010 – 2019
- 2019
- [c4]Deepan Muthirayan, Pramod P. Khargonekar:
Working Memory Augmentation for Improved Learning in Neural Adaptive Control. CDC 2019: 6785-6792 - [i6]Deepan Muthirayan, Enrique Baeyens, Pratyush Chakraborty, Kameshwar Poolla, Pramod P. Khargonekar:
A Minimal Incentive-based Demand Response Program With Self Reported Baseline Mechanism. CoRR abs/1901.02923 (2019) - [i5]Deepan Muthirayan, Pramod P. Khargonekar:
Memory Augmented Neural Network Adaptive Controllers: Performance and Stability. CoRR abs/1905.02832 (2019) - [i4]Deepan Muthirayan, Dileep M. Kalathil, Sen Li, Kameshwar Poolla, Pravin Varaiya:
Selling Demand Response Using Options. CoRR abs/1906.01069 (2019) - [i3]Deepan Muthirayan, Pramod P. Khargonekar:
Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear Systems. CoRR abs/1906.05421 (2019) - [i2]Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. CoRR abs/1910.01189 (2019) - 2018
- [c3]Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya:
Baseline Estimation and Scheduling for Demand Response. CDC 2018: 4857-4862 - [c2]Md Umar Hashmi, Deepan Muthirayan, Ana Busic:
Effect of Real-Time Electricity Pricing on Ancillary Service Requirements. e-Energy 2018: 550-555 - 2017
- [i1]Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya:
Mechanism Design for Demand Response Programs. CoRR abs/1712.07742 (2017) - 2016
- [c1]Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya:
Mechanism design for self-reporting baselines in Demand Response. ACC 2016: 1446-1451
Coauthor Index
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