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2020 – today
- 2025
[j158]K. Janani, S. S. Mohanrasu
, Ardak Kashkynbayev, R. Rakkiyappan:
Ensemble feature selection via CoCoSo method extended to interval-valued intuitionistic fuzzy environment. Math. Comput. Simul. 229: 50-77 (2025)- 2024
- [j157]S. Kavitha, K. Janani, S. S. Mohanrasu, J. Satheesh Kumar, T. Amudha, R. Rakkiyappan:
Ensemble feature selection using q-rung orthopair hesitant fuzzy Hamacher, Einstein and Dombi Aggregation operators. Appl. Soft Comput. 161: 111752 (2024) - [j156]Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, Balachandran Manavalan:
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach. Comput. Biol. Medicine 179: 108859 (2024) - [j155]Ardak Kashkynbayev, R. Rakkiyappan:
Sampled-data output tracking control based on T-S fuzzy model for cancer-tumor-immune systems. Commun. Nonlinear Sci. Numer. Simul. 128: 107642 (2024) - [j154]Guodong Zhang, Rajan Rakkiyappan, Leimin Wang:
Event-triggered-based fixed/preassigned-time synchronization control of second-order neural networks with distributed delays. Commun. Nonlinear Sci. Numer. Simul. 139: 108301 (2024) - [j153]Gokul P, S. S. Mohanrasu, Ardak Kashkynbayev, R. Rakkiyappan:
Finite-Time Synchronization of Fractional-Order Nonlinear Systems with State-Dependent Delayed Impulse Control. Int. J. Bifurc. Chaos 34(3): 2450034:1-2450034:24 (2024) - [j152]P. Gokul, G. Soundararajan, Ardak Kashkynbayev, R. Rakkiyappan:
Finite-time contractive stability for fractional-order nonlinear systems with delayed impulses: Applications to neural networks. Neurocomputing 610: 128599 (2024) - [j151]Jinde Cao, S. Saravanan, Ardak Kashkynbayev, M. Muthtamilselvan, R. Rakkiyappan:
International Conference on Mathematical Modeling 2023. Math. Comput. Simul. 222: 1-2 (2024) - [j150]S. S. Mohanrasu, K. Janani, R. Rakkiyappan:
A COPRAS-based Approach to Multi-Label Feature Selection for Text Classification. Math. Comput. Simul. 222: 3-23 (2024) - [j149]Madina Otkel, Ganesan Soundara Rajan, Rajan Rakkiyappan, Ardak Kashkynbayev:
Finite-time/fixed-time synchronization of memristive shunting inhibitory cellular neural networks via sliding mode control. Math. Comput. Simul. 222: 252-263 (2024) - [j148]K. Janani, S. S. Mohanrasu, Ardak Kashkynbayev, R. Rakkiyappan:
Minkowski distance measure in fuzzy PROMETHEE for ensemble feature selection. Math. Comput. Simul. 222: 264-295 (2024) - [j147]R. Rakkiyappan, V. Sharmila, K. Janani, Ardak Kashkynbayev:
Stabilization of Takagi-Sugeno fuzzy Hidden Markov Jump Systems with memory sampled-data control. Math. Comput. Simul. 226: 204-217 (2024) - [j146]T. M. C. Priyanka, K. Udhayakumar, S. S. Mohanrasu, A. Gowrisankar, R. Rakkiyappan:
Chaotic synchronization and fractal interpolation-based image encryption: exploring event-triggered impulsive control in variable-order fractional lur'e systems. Multim. Tools Appl. 83(21): 60279-60318 (2024) - [j145]P. Kowsalya, S. Kathiresan, Ardak Kashkynbayev, R. Rakkiyappan:
Fixed-time synchronization of delayed multiple inertial neural network with reaction-diffusion terms under cyber-physical attacks using distributed control and its application to multi-image encryption. Neural Networks 180: 106743 (2024) - [j144]Kavitha Ayyappan, Mani Prakash, Ardak Kashkynbayev, Rajan Rakkiyappan:
Prescribed-Time Quantified Intermittent Control for Stochastic FCNN and a Novel Cryptosystem. IEEE Trans. Fuzzy Syst. 32(5): 2999-3011 (2024) - [j143]Sasikala Subramaniam, Chee Peng Lim, Rajan Rakkiyappan, Mani Prakash:
Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1113-1123 (2024) - [j142]Gokul Palanisamy, Ardak Kashkynbayev, Rajan Rakkiyappan:
Finite-Time Stability of Fractional-Order Discontinuous Nonlinear Systems With State-Dependent Delayed Impulses. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1312-1324 (2024) - 2023
- [j141]K. Janani, S. S. Mohanrasu, Chee Peng Lim, Balachandran Manavalan, R. Rakkiyappan:
Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators. Appl. Soft Comput. 143: 110431 (2023) - [j140]K. Janani, A. Vignesh, Kumarasamy Pradeepa Veerakumari, Krishnan Vasanth, R. Rakkiyappan:
Identifying native endemic plant species in Nilgiris using the interval type 2 q-rung orthopair fuzzy Bonferroni mean operator. Comput. Appl. Math. 42(1) (2023) - [j139]G. Bhuvaneshwari, Mani Prakash, R. Rakkiyappan, A. Manivannan:
Stability and stabilization analysis of T-S fuzzy systems with distributed time-delay using state-feedback control. Math. Comput. Simul. 205: 778-793 (2023) - [j138]Jinde Cao, Udhayakumar Kandasamy, R. Rakkiyappan, Xiaodi Li, Jianquan Lu:
A Comprehensive Review of Continuous-/Discontinuous-Time Fractional-Order Multidimensional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5476-5496 (2023) - [j137]V. Sharmila, R. Rakkiyappan:
Memory Sampled-Data Controller Design for Interval Type-2 Fuzzy Systems via Polynomial-Type Lyapunov-Krasovskii Functional. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 82-93 (2023) - 2022
- [j136]Udhayakumar Kandasamy, Fathalla A. Rihan, Rajan Rakkiyappan, Mahmoud M. El-Khouly:
New Fixed-Time Stability Theorems for Delayed Fractional-Order Systems and Applications. IEEE Access 10: 63230-63244 (2022) - [j135]K. Janani, R. Rakkiyappan:
Complex probabilistic fuzzy set and their aggregation operators in group decision making extended to TOPSIS. Eng. Appl. Artif. Intell. 114: 105010 (2022) - [j134]K. Janani, Kumarasamy Pradeepa Veerakumari, Krishnan Vasanth, Rajan Rakkiyappan:
Complex Pythagorean fuzzy einstein aggregation operators in selecting the best breed of Horsegram. Expert Syst. Appl. 187: 115990 (2022) - [j133]K. Udhayakumar, R. Rakkiyappan, Fathalla A. Rihan, Santo Banerjee:
Projective Multi-Synchronization of Fractional-order Complex-valued Coupled Multi-stable Neural Networks with Impulsive Control. Neurocomputing 467: 392-405 (2022) - [j132]S. Shanmugasundaram, Ardak Kashkynbayev, K. Udhayakumar, R. Rakkiyappan:
Centralized and decentralized controller design for synchronization of coupled delayed inertial neural networks via reduced and non-reduced orders. Neurocomputing 469: 91-104 (2022) - [j131]S. Shanmugasundaram, Udhayakumar Kandasamy, D. Gunasekaran, R. Rakkiyappan:
Event-triggered impulsive control design for synchronization of inertial neural networks with time delays. Neurocomputing 483: 322-332 (2022) - [j130]Wenlu Liu, Xueyan Yang, Rajan Rakkiyappan, Xiaodi Li:
Dynamic analysis of delayed neural networks: Event-triggered impulsive Halanay inequality approach. Neurocomputing 498: 98-107 (2022) - [j129]K. Udhayakumar, S. Shanmugasundaram, K. Janani, S. Kathiresan, R. Rakkiyappan:
Fixed-time synchronization of delayed impulsive inertial neural networks with discontinuous activation functions via indefinite LKF method. J. Frankl. Inst. 359(2): 1361-1384 (2022) - [j128]R. Surendar, M. Muthtamilselvan, R. Rakkiyappan:
LMI based sampled-data controller for synchronization on the time-delay Darcy-Brinkman model. J. Frankl. Inst. 359(12): 5865-5890 (2022) - [j127]Gokul P, R. Rakkiyappan:
New finite-time stability for fractional-order time-varying time-delay linear systems: A Lyapunov approach. J. Frankl. Inst. 359(14): 7620-7631 (2022) - [j126]Yang Cao, K. Udhayakumar, Kumarasamy Pradeepa Veerakumari, R. Rakkiyappan:
Memory sampled data control for switched-type neural networks and its application in image secure communications. Math. Comput. Simul. 201: 564-587 (2022) - [j125]Prasath Nirvin, Fathalla A. Rihan, Rajan Rakkiyappan, Chandrasekar Pradeep:
Impulsive sampled-data controller design for synchronization of delayed T-S fuzzy Hindmarsh-Rose neuron model. Math. Comput. Simul. 201: 588-602 (2022) - [j124]K. Udhayakumar, Fathalla A. Rihan, R. Rakkiyappan, Jinde Cao:
Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays. Neural Networks 145: 319-330 (2022) - [j123]K. Udhayakumar, Fathalla A. Rihan, R. Rakkiyappan, Jinde Cao:
Corrigendum to "Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays" [Neural Networks 145 (2022) 319-330]. Neural Networks 148: 85 (2022) - [j122]R. Rakkiyappan, Rajaram Baranitha, Zhigang Zeng:
Hidden Markov-Model-Based Control Design for Multilateral Teleoperation System With Asymmetric Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1958-1969 (2022) - 2021
- [j121]Dongxue Peng, Xiaodi Li, R. Rakkiyappan, Yanhui Ding:
Stabilization of stochastic delayed systems: Event-triggered impulsive control. Appl. Math. Comput. 401: 126054 (2021) - [j120]K. Udhayakumar, R. Rakkiyappan, Xiaodi Li, Jinde Cao:
Mutiple ψ-type stability of fractional-order quaternion-valued neural networks. Appl. Math. Comput. 401: 126092 (2021) - [j119]Fanchao Kong, Rajan Rakkiyappan:
Finite-time and fixed-time synchronization control of discontinuous fuzzy Cohen-Grossberg neural networks with uncertain external perturbations and mixed time delays. Fuzzy Sets Syst. 411: 105-135 (2021) - [j118]Fanchao Kong, Quanxin Zhu, Rajan Rakkiyappan:
Robust synchronisation control of discontinuous CGNNs with time-varying delays. Int. J. Control 94(7): 1903-1919 (2021) - [j117]Rajaram Baranitha, Reza Mohajerpoor, R. Rakkiyappan:
Bilateral Teleoperation of Single-Master Multislave Systems With Semi-Markovian Jump Stochastic Interval Time-Varying Delayed Communication Channels. IEEE Trans. Cybern. 51(1): 247-257 (2021) - [j116]V. Sharmila, R. Rakkiyappan, Young Hoon Joo:
Fuzzy Sampled-Data Control for DFIG-Based Wind Turbine With Stochastic Actuator Failures. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2199-2211 (2021) - [j115]Mani Prakash, Rajan Rakkiyappan, Young Hoon Joo:
Design of Observer-Based Event-Triggered Fuzzy ISMC for T-S Fuzzy Model and its Application to PMSG. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2221-2231 (2021) - 2020
- [j114]Rajan Rakkiyappan, Gandhi Velmurugan, Premalatha Soundharajan, Young Hoon Joo:
Almost periodic dynamics of memristive inertial neural networks with mixed delays. Inf. Sci. 536: 332-350 (2020) - [j113]K. Udhayakumar, R. Rakkiyappan, Jinde Cao, Xuegang Tan:
Mittag-Leffler stability analysis of multiple equilibrium points in impulsive fractional-order quaternion-valued neural networks. Frontiers Inf. Technol. Electron. Eng. 21(2): 234-246 (2020) - [j112]Shanmugam Lakshmanan, Mani Prakash, Rajan Rakkiyappan, Young Hoon Joo:
Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication. IEEE Trans. Cybern. 50(3): 911-922 (2020) - [j111]Rajaram Baranitha, Rajan Rakkiyappan, Xiaodi Li:
T-S Fuzzy Model-Based Single-Master Multislave Teleoperation Systems With Decentralized Communication Structure and Varying Time Delays. IEEE Trans. Fuzzy Syst. 28(12): 3406-3417 (2020) - [j110]Udhayakumar Kandasamy, Xiaodi Li, Rajan Rakkiyappan:
Quasi-Synchronization and Bifurcation Results on Fractional-Order Quaternion-Valued Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4063-4072 (2020)
2010 – 2019
- 2019
- [j109]Mani Prakash, R. Rakkiyappan, A. Manivannan, Jinde Cao:
Dynamical analysis of antigen-driven T-cell infection model with multiple delays. Appl. Math. Comput. 354: 266-281 (2019) - [j108]R. Rakkiyappan, V. Preethi Latha, Fathalla A. Rihan:
A Fractional-Order Model for Zika Virus Infection with Multiple Delays. Complex. 2019: 4178073:1-4178073:20 (2019) - [j107]Samayan Narayanamoorthy, Selvaraj Geetha, R. Rakkiyappan, Young Hoon Joo:
Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection. Expert Syst. Appl. 121: 28-37 (2019) - [j106]Mani Prakash, Rajan Rakkiyappan, Shanmugam Lakshmanan, Young Hoon Joo:
Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption. Inf. Sci. 491: 74-89 (2019) - [j105]Chandrasekar Pradeep, Yang Cao, Rangasamy Murugesu, R. Rakkiyappan:
An event-triggered synchronization of semi-Markov jump neural networks with time-varying delays based on generalized free-weighting-matrix approach. Math. Comput. Simul. 155: 41-56 (2019) - [j104]R. Rakkiyappan, D. Gayathri, G. Velmurugan, Jinde Cao:
Exponential Synchronization of Inertial Memristor-Based Neural Networks with Time Delay Using Average Impulsive Interval Approach. Neural Process. Lett. 50(3): 2053-2071 (2019) - [j103]Mani Prakash, Rajan Rakkiyappan, Shanmugam Lakshmanan, Young Hoon Joo:
Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model. IEEE Trans. Fuzzy Syst. 27(8): 1674-1686 (2019) - 2018
- [j102]Chinnamuniyandi Maharajan, Rajan Rakkiyappan, Jinde Cao, Grienggrai Rajchakit, Zhengwen Tu, Ahmed Alsaedi:
LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: A non-fragile state estimation approach. Appl. Math. Comput. 326: 33-55 (2018) - [j101]Xiaodi Li, Jianhua Shen, R. Rakkiyappan:
Persistent impulsive effects on stability of functional differential equations with finite or infinite delay. Appl. Math. Comput. 329: 14-22 (2018) - [j100]Xiaodi Li, Jianhua Shen, Haydar Akça, R. Rakkiyappan:
Comparison principle for impulsive functional differential equations with infinite delays and applications. Commun. Nonlinear Sci. Numer. Simul. 57: 309-321 (2018) - [j99]Fathalla A. Rihan, Cemil Tunç, S. H. Saker, Shanmugam Lakshmanan, R. Rakkiyappan:
Applications of Delay Differential Equations in Biological Systems. Complex. 2018: 4584389:1-4584389:3 (2018) - [j98]Chinnamuniyandi Maharajan, R. Rakkiyappan, Jinde Cao, Grienggrai Rajchakit, Ahmed Alsaedi:
Impulsive Cohen-Grossberg BAM neural networks with mixed time-delays: An exponential stability analysis issue. Neurocomputing 275: 2588-2602 (2018) - [j97]Rajaram Baranitha, R. Rakkiyappan, Reza Mohajerpoor, Saba Al-Wais:
Stability analysis of nonlinear telerobotic systems with time-varying communication channel delays using general integral inequalities. Inf. Sci. 465: 353-372 (2018) - [j96]V. Preethi Latha, Fathalla A. Rihan, R. Rakkiyappan, G. Velmurugan:
A fractional-order model for Ebola virus infection with delayed immune response on heterogeneous complex networks. J. Comput. Appl. Math. 339: 134-146 (2018) - [j95]K. Sivaranjani, R. Rakkiyappan, Young Hoon Joo:
Event triggered reliable synchronization of semi-Markovian jumping complex dynamical networks via generalized integral inequalities. J. Frankl. Inst. 355(8): 3691-3716 (2018) - [j94]R. Rakkiyappan, K. Maheswari, G. Velmurugan, Ju H. Park:
Event-triggered H∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization. Neural Networks 105: 236-248 (2018) - [j93]Haitao Zhu, R. Rakkiyappan, Xiaodi Li:
Delayed state-feedback control for stabilization of neural networks with leakage delay. Neural Networks 105: 249-255 (2018) - [j92]Shanmugam Lakshmanan, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi:
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 29(1): 195-207 (2018) - 2017
- [j91]R. Rakkiyappan, G. Velmurugan, J. Nicholas George, Rajendran Selvamani:
Exponential synchronization of Lur'e complex dynamical networks with uncertain inner coupling and pinning impulsive control. Appl. Math. Comput. 307: 217-231 (2017) - [j90]K. Sivaranjani, R. Rakkiyappan, Jinde Cao, Ahmed Alsaedi:
Synchronization of nonlinear singularly perturbed complex networks with uncertain inner coupling via event triggered control. Appl. Math. Comput. 311: 283-299 (2017) - [j89]R. Rakkiyappan, V. Preethi Latha, K. Sivaranjani:
Exponential \(H_{\infty }\) Synchronization of Lur'e Complex Dynamical Networks Using Pinning Sampled-Data Control. Circuits Syst. Signal Process. 36(10): 3958-3982 (2017) - [j88]Shanmugavel Dharani, R. Rakkiyappan, Ju H. Park:
Pinning sampled-data synchronization of coupled inertial neural networks with reaction-diffusion terms and time-varying delays. Neurocomputing 227: 101-107 (2017) - [j87]R. Rakkiyappan, K. Maheswari, K. Sivaranjani:
Non-weighted H∞ state estimation for discrete-time switched neural networks with persistent dwell time switching regularities based on Finsler's lemma. Neurocomputing 260: 131-141 (2017) - [j86]Rathinasamy Sasirekha, R. Rakkiyappan:
Extended dissipativity state estimation for switched discrete-time complex dynamical networks with multiple communication channels: A sojourn probability dependent approach. Neurocomputing 267: 55-68 (2017) - [j85]K. Sivaranjani, R. Rakkiyappan, Shanmugam Lakshmanan, Chee Peng Lim:
Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations. IMA J. Math. Control. Inf. 34(1): 337-357 (2017) - [j84]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Rajan Rakkiyappan, Saeid Nahavandi, Ju H. Park:
Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances. J. Frankl. Inst. 354(2): 1169-1194 (2017) - [j83]R. Rakkiyappan, Shanmugavel Dharani:
Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with Markovian jumping and mixed delays using multiple integral approach. Neural Comput. Appl. 28(3): 449-462 (2017) - [j82]G. Velmurugan, R. Rakkiyappan, Vembarasan Vaitheeswaran, Jinde Cao, Ahmed Alsaedi:
Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay. Neural Networks 86: 42-53 (2017) - 2016
- [j81]Rajan Rakkiyappan, Gandhi Velmurugan, Fathalla A. Rihan, Shanmugam Lakshmanan:
Stability analysis of memristor-based complex-valued recurrent neural networks with time delays. Complex. 21(4): 14-39 (2016) - [j80]Chandrasekar Pradeep, Arunachalam Chandrasekar, Rangasamy Murugesu, Rajan Rakkiyappan:
Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time-varying delays. Complex. 21(5): 59-72 (2016) - [j79]K. Sivaranjani, R. Rakkiyappan:
Pinning sampled-data synchronization of complex dynamical networks with Markovian jumping and mixed delays using multiple integral approach. Complex. 21(S1): 622-632 (2016) - [j78]Rajivganthi Chinnathambi, Fathalla A. Rihan, Shanmugam Lakshmanan, Rajan Rakkiyappan, Muthukumar Palanisamy:
Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives. Complex. 21(S2): 412-426 (2016) - [j77]Jinde Cao, Sivasamy Ramasamy, R. Rakkiyappan:
Sampled-Data \(H_{\infty }\) Synchronization of Chaotic Lur'e Systems with Time Delay. Circuits Syst. Signal Process. 35(3): 811-835 (2016) - [j76]A. Vinodkumar, R. Rakkiyappan:
Exponential stability results for fixed and random type impulsive Hopfield neural networks. Int. J. Comput. Sci. Math. 7(1): 1-19 (2016) - [j75]R. Rakkiyappan, Sivasamy Ramasamy, Ju H. Park, Tae H. Lee:
An improved stability criterion for generalized neural networks with additive time-varying delays. Neurocomputing 171: 615-624 (2016) - [j74]A. Chandrasekar, R. Rakkiyappan:
Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks. Neurocomputing 173: 1348-1355 (2016) - [j73]A. Chandrasekar, R. Rakkiyappan, Xiaodi Li:
Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions. Neurocomputing 202: 67-83 (2016) - [j72]R. Rakkiyappan, E. Udhaya Kumari, A. Chandrasekar, Ramasamy Krishnasamy:
Synchronization and periodicity of coupled inertial memristive neural networks with supremums. Neurocomputing 214: 739-749 (2016) - [j71]R. Rakkiyappan, A. Chandrasekar, S. Lakshmanan:
Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays. Int. J. Syst. Sci. 47(10): 2247-2263 (2016) - [j70]Rajan Rakkiyappan, Rathinasamy Sasirekha, Yanzheng Zhu, Lixian Zhang:
H∞ state estimator design for discrete-time switched neural networks with multiple missing measurements and sojourn probabilities. J. Frankl. Inst. 353(6): 1358-1385 (2016) - [j69]R. Rakkiyappan, Rathinasamy Sasirekha, Shanmugam Lakshmanan, Chee Peng Lim:
Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control. J. Frankl. Inst. 353(16): 4300-4329 (2016) - [j68]R. Rakkiyappan, G. Velmurugan, Xiaodi Li, Donal O'Regan:
Global dissipativity of memristor-based complex-valued neural networks with time-varying delays. Neural Comput. Appl. 27(3): 629-649 (2016) - [j67]G. Velmurugan, R. Rakkiyappan, Jinde Cao:
Finite-time synchronization of fractional-order memristor-based neural networks with time delays. Neural Networks 73: 36-46 (2016) - [j66]R. Rakkiyappan, R. Sivaranjani, G. Velmurugan, Jinde Cao:
Analysis of global O(t-α) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays. Neural Networks 77: 51-69 (2016) - 2015
- [j65]Xiaodi Li, Jianhua Shen, Haydar Akça, R. Rakkiyappan:
LMI-based stability for singularly perturbed nonlinear impulsive differential systems with delays of small parameter. Appl. Math. Comput. 250: 798-804 (2015) - [j64]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park:
Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control. Complex. 20(3): 39-65 (2015) - [j63]Rajan Rakkiyappan, Natarajan Sakthivel:
Cluster synchronization for T-S fuzzy complex networks using pinning control with probabilistic time-varying delays. Complex. 21(1): 59-77 (2015) - [j62]Natarajan Sakthivel, Rajan Rakkiyappan, Ju H. Park:
Non-fragile synchronization control for complex networks with additive time-varying delays. Complex. 21(1): 296-321 (2015) - [j61]Rajan Rakkiyappan, Rathinasamy Sasirekha:
Asymptotic synchronization of continuous/discrete complex dynamical networks by optimal partitioning method. Complex. 21(2): 193-210 (2015) - [j60]R. Rakkiyappan, Natarajan Sakthivel:
Stochastic Sampled-Data Control for Exponential Synchronization of Markovian Jumping Complex Dynamical Networks with Mode-Dependent Time-Varying Coupling Delay. Circuits Syst. Signal Process. 34(1): 153-183 (2015) - [j59]R. Rakkiyappan, Sivasamy Ramasamy, Xiaodi Li:
Synchronization of Identical and Nonidentical Memristor-based Chaotic Systems Via Active Backstepping Control Technique. Circuits Syst. Signal Process. 34(3): 763-778 (2015) - [j58]R. Rakkiyappan, G. Velmurugan, Jinde Cao:
Multiple μ-stability analysis of complex-valued neural networks with unbounded time-varying delays. Neurocomputing 149: 594-607 (2015) - [j57]Shanmugavel Dharani, Rajan Rakkiyappan, Jinde Cao:
New delay-dependent stability criteria for switched Hopfield neural networks of neutral type with additive time-varying delay components. Neurocomputing 151: 827-834 (2015) - [j56]R. Rakkiyappan, B. Kaviarasan, Jinde Cao:
Leader-following consensus of multi-agent systems via sampled-data control with randomly missing data. Neurocomputing 161: 132-147 (2015) - [j55]R. Rakkiyappan, Natarajan Sakthivel:
Pinning sampled-data control for synchronization of complex networks with probabilistic time-varying delays using quadratic convex approach. Neurocomputing 162: 26-40 (2015) - [j54]R. Rakkiyappan, B. Kaviarasan, Ju H. Park:
Leader-following consensus for networked multi-teleoperator systems via stochastic sampled-data control. Neurocomputing 164: 272-280 (2015) - [j53]R. Rakkiyappan, K. Sivaranjani, G. Velmurugan:
Comments and further improvements on "Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays"[Neurocomputing 144 (2014) 391-407]. Neurocomputing 165: 433-435 (2015) - [j52]Xiaodi Li, R. Rakkiyappan, G. Velmurugan:
Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays. Inf. Sci. 294: 645-665 (2015) - [j51]R. Rakkiyappan, B. Kaviarasan, Fathalla A. Rihan, Shanmugam Lakshmanan:
Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control. J. Frankl. Inst. 352(8): 3178-3195 (2015) - [j50]R. Rakkiyappan, Shanmugavel Dharani, Quanxin Zhu:
Stochastic sampled-data H∞ synchronization of coupled neutral-type delay partial differential systems. J. Frankl. Inst. 352(10): 4480-4502 (2015) - [j49]R. Rakkiyappan, Natarajan Sakthivel, Jinde Cao:
Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays. Neural Networks 66: 46-63 (2015) - [j48]G. Velmurugan, R. Rakkiyappan, Jinde Cao:
Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays. Neural Networks 67: 14-27 (2015) - [j47]A. Chandrasekar, R. Rakkiyappan, Jinde Cao:
Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach. Neural Networks 70: 27-38 (2015) - [j46]R. Rakkiyappan, G. Velmurugan, Xiaodi Li:
Complete Stability Analysis of Complex-Valued Neural Networks with Time Delays and Impulses. Neural Process. Lett. 41(3): 435-468 (2015) - [j45]G. Velmurugan, R. Rakkiyappan, Shanmugam Lakshmanan:
Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays. Neural Process. Lett. 42(3): 517-540 (2015) - [j44]R. Rakkiyappan, Jinde Cao, G. Velmurugan:
Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays. IEEE Trans. Neural Networks Learn. Syst. 26(1): 84-97 (2015) - [j43]Rajan Rakkiyappan, A. Chandrasekar, Jinde Cao:
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2043-2057 (2015) - [j42]Rajan Rakkiyappan, Shanmugavel Dharani, Jinde Cao:
Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3215-3226 (2015) - 2014
- [j41]Xiaodi Li, Xilin Fu, R. Rakkiyappan:
Delay-dependent stability analysis for a class of dynamical systems with leakage delay and nonlinear perturbations. Appl. Math. Comput. 226: 10-19 (2014) - [j40]Sivasamy Ramasamy, R. Rakkiyappan:
Improved stability criteria for neutral type Lur'e systems with time-varying delays. Appl. Math. Lett. 38: 168-173 (2014) - [j39]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park:
State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory. Complex. 19(4): 32-43 (2014) - [j38]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park:
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. Neurocomputing 131: 265-277 (2014) - [j37]A. Chandrasekar, R. Rakkiyappan, Fathalla A. Rihan, Shanmugam Lakshmanan:
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control. Neurocomputing 133: 385-398 (2014) - [j36]Quanxin Zhu, R. Rakkiyappan, A. Chandrasekar:
Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control. Neurocomputing 136: 136-151 (2014) - [j35]R. Rakkiyappan, K. Sivaranjani, G. Velmurugan:
Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays. Neurocomputing 144: 391-407 (2014) - [j34]R. Rakkiyappan, Quanxin Zhu, A. Chandrasekar:
Stability of stochastic neural networks of neutral type with Markovian jumping parameters: A delay-fractioning approach. J. Frankl. Inst. 351(3): 1553-1570 (2014) - [j33]A. Chandrasekar, R. Rakkiyappan, Jinde Cao, Shanmugam Lakshmanan:
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. Neural Networks 57: 79-93 (2014) - 2013
- [j32]Shanmugam Lakshmanan, Ju H. Park, Tae H. Lee, Ho Y. Jung, R. Rakkiyappan:
Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays. Appl. Math. Comput. 219(17): 9408-9423 (2013) - [j31]R. Rakkiyappan, Natarajan Sakthivel, Ju H. Park, O. M. Kwon:
Sampled-data state estimation for Markovian jumping fuzzy cellular neural networks with mode-dependent probabilistic time-varying delays. Appl. Math. Comput. 221: 741-769 (2013) - [j30]Xiaodi Li, R. Rakkiyappan:
Impulsive controller design for exponential synchronization of chaotic neural networks with mixed delays. Commun. Nonlinear Sci. Numer. Simul. 18(6): 1515-1523 (2013) - [j29]R. Rakkiyappan, Shanmugam Lakshmanan, Pagavathigounder Balasubramaniam:
Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays. Circuits Syst. Signal Process. 32(3): 1147-1177 (2013) - [j28]Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, O. M. Kwon, R. Rakkiyappan:
A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays. Neurocomputing 111: 81-89 (2013) - [j27]R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung:
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control. Neurocomputing 121: 365-378 (2013) - [j26]Pagavathigounder Balasubramaniam, M. Kalpana, R. Rakkiyappan:
Stationary oscillation of interval fuzzy cellular neural networks with mixed delays under impulsive perturbations. Neural Comput. Appl. 22(7-8): 1645-1654 (2013) - [j25]R. Rakkiyappan, Chandrasekar Pradeep, A. Vinodkumar, Fathalla A. Rihan:
Dynamic analysis for high-order Hopfield neural networks with leakage delay and impulsive effects. Neural Comput. Appl. 22(Supplement-1): 55-73 (2013) - [j24]Xiaodi Li, R. Rakkiyappan:
Stability results for Takagi-Sugeno fuzzy uncertain BAM neural networks with time delays in the leakage term. Neural Comput. Appl. 22(Supplement-1): 203-219 (2013) - 2012
- [j23]Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, Rajan Rakkiyappan:
LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties. Int. J. Appl. Math. Comput. Sci. 22(2): 339-351 (2012) - [j22]Pagavathigounder Balasubramaniam, Vembarasan Vaitheeswaran, R. Rakkiyappan:
Delay-dependent robust asymptotic state estimation of Takagi-Sugeno fuzzy Hopfield neural networks with mixed interval time-varying delays. Expert Syst. Appl. 39(1): 472-481 (2012) - [j21]Pagavathigounder Balasubramaniam, Vembarasan Vaitheeswaran, R. Rakkiyappan:
Global robust asymptotic stability analysis of uncertain switched Hopfield neural networks with time delay in the leakage term. Neural Comput. Appl. 21(7): 1593-1616 (2012) - 2011
- [j20]Pagavathigounder Balasubramaniam, M. Kalpana, R. Rakkiyappan:
State estimation for fuzzy cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays. Comput. Math. Appl. 62(10): 3959-3972 (2011) - [j19]Pagavathigounder Balasubramaniam, M. Kalpana, Rajan Rakkiyappan:
Existence and Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Time Delay in the Leakage Term and Unbounded Distributed Delays. Circuits Syst. Signal Process. 30(6): 1595-1616 (2011) - [j18]Pagavathigounder Balasubramaniam, R. Rakkiyappan, R. Sathy:
Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters. Expert Syst. Appl. 38(1): 121-130 (2011) - [j17]Pagavathigounder Balasubramaniam, R. Sathy, R. Rakkiyappan:
A delay decomposition approach to fuzzy Markovian jumping genetic regulatory networks with time-varying delays. Fuzzy Sets Syst. 164(1): 82-100 (2011) - [j16]Xiaodi Li, Pagavathigounder Balasubramaniam, R. Rakkiyappan:
Stability results for stochastic bidirectional associative memory neural networks with multiple discrete and distributed time-varying delays. Int. J. Comput. Math. 88(7): 1358-1372 (2011) - [j15]R. Rakkiyappan, Pagavathigounder Balasubramaniam, Ramasamy Krishnasamy:
Delay dependent stability analysis of neutral systems with mixed time-varying delays and nonlinear perturbations. J. Comput. Appl. Math. 235(8): 2147-2156 (2011) - [j14]Xiaodi Li, R. Rakkiyappan, P. Balasubramaniam:
Existence and global stability analysis of equilibrium of fuzzy cellular neural networks with time delay in the leakage term under impulsive perturbations. J. Frankl. Inst. 348(2): 135-155 (2011) - [j13]Pagavathigounder Balasubramaniam, M. Kalpana, R. Rakkiyappan:
Global asymptotic stability of BAM fuzzy cellular neural networks with time delay in the leakage term, discrete and unbounded distributed delays. Math. Comput. Model. 53(5-6): 839-853 (2011) - [j12]Pagavathigounder Balasubramaniam, Vembarasan Vaitheeswaran, R. Rakkiyappan:
Leakage Delays in T-S Fuzzy Cellular Neural Networks. Neural Process. Lett. 33(2): 111-136 (2011) - 2010
- [j11]Pagavathigounder Balasubramaniam, A. Manivannan, R. Rakkiyappan:
Exponential stability results for uncertain neutral systems with interval time-varying delays and Markovian jumping parameters. Appl. Math. Comput. 216(11): 3396-3407 (2010) - [j10]R. Rakkiyappan, Pagavathigounder Balasubramaniam:
On exponential stability results for fuzzy impulsive neural networks. Fuzzy Sets Syst. 161(13): 1823-1835 (2010) - [j9]Pagavathigounder Balasubramaniam, R. Rakkiyappan:
Global exponential stability for neutral-type BAM neural networks with time-varying delays. Int. J. Comput. Math. 87(9): 2064-2075 (2010) - [j8]Pagavathigounder Balasubramaniam, Gnaneswaran Nagamani, R. Rakkiyappan:
Global Passivity Analysis of Interval Neural Networks with Discrete and Distributed Delays of Neutral Type. Neural Process. Lett. 32(2): 109-130 (2010)
2000 – 2009
- 2009
- [j7]R. Rakkiyappan, Pagavathigounder Balasubramaniam:
Global exponential stability results for delayed neural networks of neutral type. Int. J. Comput. Math. 86(9): 1591-1602 (2009) - [j6]Pagavathigounder Balasubramaniam, R. Rakkiyappan:
Delay-dependent robust stability analysis of uncertain stochastic neural networks with discrete interval and distributed time-varying delays. Neurocomputing 72(13-15): 3231-3237 (2009) - [j5]Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, R. Rakkiyappan:
Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. Neurocomputing 72(16-18): 3675-3682 (2009) - 2008
- [j4]R. Rakkiyappan, Pagavathigounder Balasubramaniam:
Delay-dependent asymptotic stability for stochastic delayed recurrent neural networks with time varying delays. Appl. Math. Comput. 198(2): 526-533 (2008) - [j3]R. Rakkiyappan, Pagavathigounder Balasubramaniam:
LMI conditions for global asymptotic stability results for neutral-type neural networks with distributed time delays. Appl. Math. Comput. 204(1): 317-324 (2008) - [j2]Pagavathigounder Balasubramaniam, R. Rakkiyappan:
Global asymptotic stability of stochastic recurrent neural networks with multiple discrete delays and unbounded distributed delays. Appl. Math. Comput. 204(2): 680-686 (2008) - [j1]R. Rakkiyappan, Pagavathigounder Balasubramaniam:
New global exponential stability results for neutral type neural networks with distributed time delays. Neurocomputing 71(4-6): 1039-1045 (2008)
Coauthor Index
P. Balasubramaniam 0001
aka: Pagavathigounder Balasubramaniam
aka: Pagavathigounder Balasubramaniam
A. Chandrasekar 0001
aka: Arunachalam Chandrasekar
aka: Arunachalam Chandrasekar
G. Velmurugan
aka: Gandhi Velmurugan
aka: Gandhi Velmurugan
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