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ORCIDR. Saravanakumar 0001
Person information
- affiliation: Hiroshima University, Japan
- affiliation: Mahidol University, Department of Mathematics, Faculty of Science, Bangkok, Thailand
- affiliation (PhD 2016): Thiruvalluvar University, Vellore, India
- affiliation (MSc 2012): Gandhigram Rural University, Dindigul, India
- affiliation (BSc 2009): Bharathiar University, Coimbatore, India
Other persons with the same name
- R. Saravanakumar — disambiguation page
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2020 – today
- 2022
[j34]Ramasamy Saravanakumar
:
Improved Stabilization Criteria for Fuzzy Chaotic Systems Using Memory Sampled-Data Strategy. IEEE Control. Syst. Lett. 6: 1952-1957 (2022)- [j33]Ramasamy Saravanakumar, M. Syed Ali:
Extended Dissipative Criteria for Generalized Markovian Jump Neural Networks Including Asynchronous Mode-Dependent Delayed States. Neural Process. Lett. 54(3): 1623-1645 (2022) - [j32]Ramasamy Saravanakumar, Amir Amini, Rupak Datta, Yang Cao:
Reliable Memory Sampled-Data Consensus of Multi-Agent Systems With Nonlinear Actuator Faults. IEEE Trans. Circuits Syst. II Express Briefs 69(4): 2201-2205 (2022) - 2021
- [j31]Ali Kazemy, Ramasamy Saravanakumar, James Lam:
Master-slave synchronization of neural networks subject to mixed-type communication attacks. Inf. Sci. 560: 20-34 (2021) - [j30]Rupak Datta, Ramasamy Saravanakumar, Rajeeb Dey, Baby Bhattacharya, Choon Ki Ahn:
Improved stabilization criteria for Takagi-Sugeno fuzzy systems with variable delays. Inf. Sci. 579: 591-606 (2021) - 2020
- [j29]Hiroaki Mukaidani, Ramasamy Saravanakumar, Hua Xu, Weihua Zhuang:
Stackelberg Strategy for Uncertain Markov Jump Delay Stochastic Systems. IEEE Control. Syst. Lett. 4(4): 1006-1011 (2020) - [j28]Ramasamy Saravanakumar, Hiroaki Mukaidani, Muthukumar Palanisamy:
Extended dissipative state estimation of delayed stochastic neural networks. Neurocomputing 406: 244-252 (2020) - [j27]Rupak Datta, Rajeeb Dey, Baby Bhattacharya, Ramasamy Saravanakumar, Oh-Min Kwon:
Stability and stabilization of T-S fuzzy systems with variable delays via new Bessel-Legendre polynomial based relaxed integral inequality. Inf. Sci. 522: 99-123 (2020) - [j26]Rupak Datta, Rajeeb Dey, Ramasamy Saravanakumar, Baby Bhattacharya, Tsung-Chih Lin:
New delay-range-dependent stability condition for fuzzy Hopfield neural networks via Wirtinger inequality. J. Intell. Fuzzy Syst. 38(5): 6099-6109 (2020) - [c9]Hiroya Kikuchi, Hiroaki Mukaidani, Ramasamy Saravanakumar:
Robust Nash Strategy for Uncertain SIR Time-Delay Model. SICE 2020: 1897-1901 - [c8]Zhouning Du, Hiroaki Mukaidani, Ramasamy Saravanakumar:
Action Recognition Based on Linear Dynamical Systems with Deep Features in Videos. SMC 2020: 2634-2639 - [c7]Ramasamy Saravanakumar, Hiroaki Mukaidani:
Dissipativity-Based State Estimation for Uncertain Fuzzy Stochastic Neural Networks. SMC 2020: 2830-2835 - [c6]Hiroya Kikuchi, Hiroaki Mukaidani, Ramasamy Saravanakumar, Weihua Zhuang:
Robust Vaccination Strategy based on Dynamic Game for Uncertain SIR Time-Delay Model. SMC 2020: 3427-3432
2010 – 2019
- 2019
- [j25]Nallappan Gunasekaran, Ramasamy Saravanakumar, Young Hoon Joo, Han Sol Kim:
Finite-time synchronization of sampled-data T-S fuzzy complex dynamical networks subject to average dwell-time approach. Fuzzy Sets Syst. 374: 40-59 (2019) - [j24]M. Syed Ali, R. Vadivel, R. Saravanakumar:
Event-triggered state estimation for Markovian jumping impulsive neural networks with interval time-varying delays. Int. J. Control 92(2): 270-290 (2019) - [j23]Nallappan Gunasekaran, Ramasamy Saravanakumar, M. Syed Ali, Quanxin Zhu:
Exponential sampled-data control for T-S fuzzy systems: application to Chua's circuit. Int. J. Syst. Sci. 50(16): 2979-2992 (2019) - [j22]R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo:
Exponential dissipativity criteria for generalized BAM neural networks with variable delays. Neural Comput. Appl. 31(7): 2717-2726 (2019) - [j21]S. Saravanan, M. Syed Ali, R. Saravanakumar:
Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks. Neural Process. Lett. 49(2): 573-591 (2019) - [j20]Ramasamy Saravanakumar, Sreten B. Stojanovic, Damnjan D. Radosavljevic, Choon Ki Ahn, Hamid Reza Karimi:
Finite-Time Passivity-Based Stability Criteria for Delayed Discrete-Time Neural Networks via New Weighted Summation Inequalities. IEEE Trans. Neural Networks Learn. Syst. 30(1): 58-71 (2019) - [j19]Ramasamy Saravanakumar, Hyung Soo Kang, Choon Ki Ahn, Xiaojie Su, Hamid Reza Karimi:
Robust Stabilization of Delayed Neural Networks: Dissipativity-Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 30(3): 913-922 (2019) - [j18]R. Saravanakumar, Grienggrai Rajchakit, Choon Ki Ahn, Hamid Reza Karimi:
Exponential Stability, Passivity, and Dissipativity Analysis of Generalized Neural Networks With Mixed Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 49(2): 395-405 (2019) - [c5]Hiroaki Mukaidani, Ramasamy Saravanakumar, Hua Xu:
Open-Loop Dymanic Games for Interconnected Positive Nonlinear Systems with H∞ Constraint. ASCC 2019: 515-520 - [c4]Hiroaki Mukaidani, Ramasamy Saravanakumar, Hua Xu, Weihua Zhuang:
Robust Nash Static Output Feedback Strategy for Uncertain Markov Jump Delay Stochastic Systems. CDC 2019: 5826-5831 - [c3]Ramasamy Saravanakumar, Ali Kazemy, Hiroaki Mukaidani:
Robust Dissipative Sampled-data Control of Offshore Steel Jacket Platforms. SICE 2019: 70-75 - [c2]Muneomi Sagara, Hiroaki Mukaidani, Ramasamy Saravanakumar, Hua Xu:
Gain-Scheduled Robust Pareto Static Output Feedback Strategy for Stochastic LPV Systems. SICE 2019: 76-81 - [c1]Hiroaki Mukaidani, Ramasamy Saravanakumar, Hua Xu, Muneomi Sagara:
Robust Nash Strategy for Uncertain Delay Systems with LSTM and Its Application for TCP/AQM Congestion Control. SICE 2019: 88-93 - 2018
- [j17]Grienggrai Rajchakit, R. Saravanakumar:
Exponential stability of semi-Markovian jump generalized neural networks with interval time-varying delays. Neural Comput. Appl. 29(2): 483-492 (2018) - [j16]M. Syed Ali, Nallappan Gunasekaran, R. Saravanakumar:
Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control. Neural Comput. Appl. 30(2): 595-605 (2018) - [j15]Thirunavukkarasu Radhika, Gnaneswaran Nagamani, Quanxin Zhu, S. Ramasamy, R. Saravanakumar:
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays. Neural Comput. Appl. 30(11): 3565-3579 (2018) - [j14]R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Zhengrong Xiang, Young Hoon Joo:
Robust extended dissipativity criteria for discrete-time uncertain neural networks with time-varying delays. Neural Comput. Appl. 30(12): 3893-3904 (2018) - 2017
- [j13]R. Saravanakumar, M. Syed Ali, Hamid Reza Karimi:
Robust H∞ control of uncertain stochastic Markovian jump systems with mixed time-varying delays. Int. J. Syst. Sci. 48(4): 862-872 (2017) - [j12]R. Saravanakumar, Grienggrai Rajchakit, M. Syed Ali, Young Hoon Joo:
Extended dissipativity of generalised neural networks including time delays. Int. J. Syst. Sci. 48(11): 2311-2320 (2017) - [j11]M. Syed Ali, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi:
Stochastic H∞ filtering for neural networks with leakage delay and mixed time-varying delays. Inf. Sci. 388: 118-134 (2017) - [j10]Grienggrai Rajchakit, R. Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi:
Improved exponential convergence result for generalized neural networks including interval time-varying delayed signals. Neural Networks 86: 10-17 (2017) - [j9]Ramasamy Saravanakumar, Muhammed Syed Ali, Choon Ki Ahn, Hamid Reza Karimi, Peng Shi:
Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1840-1850 (2017) - 2016
- [j8]M. Syed Ali, R. Saravanakumar:
Improved H∞ performance analysis of uncertain Markovian jump systems with overlapping time-varying delays. Complex. 21(S1): 460-477 (2016) - [j7]M. Syed Ali, R. Saravanakumar, Sabri Arik:
Novel H∞ state estimation of static neural networks with interval time-varying delays via augmented Lyapunov-Krasovskii functional. Neurocomputing 171: 949-954 (2016) - [j6]M. Syed Ali, R. Saravanakumar, Jinde Cao:
New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays. Neurocomputing 171: 1533-1547 (2016) - [j5]R. Saravanakumar, M. Syed Ali, Jinde Cao, He Huang:
H∞ state estimation of generalised neural networks with interval time-varying delays. Int. J. Syst. Sci. 47(16): 3888-3899 (2016) - [j4]R. Saravanakumar, M. Syed Ali, Mingang Hua:
H∞ state estimation of stochastic neural networks with mixed time-varying delays. Soft Comput. 20(9): 3475-3487 (2016) - 2015
- [j3]M. Syed Ali, Sabri Arik, R. Saravanakumar:
Delay-dependent stability criteria of uncertain Markovian jump neural networks with discrete interval and distributed time-varying delays. Neurocomputing 158: 167-173 (2015) - [j2]M. Syed Ali, R. Saravanakumar, Quanxin Zhu:
Less conservative delay-dependent H∞ control of uncertain neural networks with discrete interval and distributed time-varying delays. Neurocomputing 166: 84-95 (2015) - 2014
- [j1]M. Syed Ali, R. Saravanakumar:
Novel delay-dependent robust H∞ control of uncertain systems with distributed time-varying delays. Appl. Math. Comput. 249: 510-520 (2014)
Coauthor Index
aka: Muhammed Syed Ali
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