R. Saravanakumar
Orcid: 0000-0002-4772-1732Affiliations:
- Hiroshima University, Japan
- Mahidol University, Department of Mathematics, Faculty of Science, Bangkok, Thailand
- Thiruvalluvar University, Vellore, India (PhD 2016)
- Gandhigram Rural University, Dindigul, India (MSc 2012)
- Bharathiar University, Coimbatore, India (BSc 2009)
According to our database1,
R. Saravanakumar
authored at least 43 papers
between 2014 and 2022.
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Bibliography
2022
Reliable Memory Sampled-Data Consensus of Multi-Agent Systems With Nonlinear Actuator Faults.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Extended Dissipative Criteria for Generalized Markovian Jump Neural Networks Including Asynchronous Mode-Dependent Delayed States.
Neural Process. Lett., 2022
Improved Stabilization Criteria for Fuzzy Chaotic Systems Using Memory Sampled-Data Strategy.
IEEE Control. Syst. Lett., 2022
2021
Master-slave synchronization of neural networks subject to mixed-type communication attacks.
Inf. Sci., 2021
Improved stabilization criteria for Takagi-Sugeno fuzzy systems with variable delays.
Inf. Sci., 2021
2020
New delay-range-dependent stability condition for fuzzy Hopfield neural networks via Wirtinger inequality.
J. Intell. Fuzzy Syst., 2020
Stability and stabilization of T-S fuzzy systems with variable delays via new Bessel-Legendre polynomial based relaxed integral inequality.
Inf. Sci., 2020
Neurocomputing, 2020
IEEE Control. Syst. Lett., 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Robust Vaccination Strategy based on Dynamic Game for Uncertain SIR Time-Delay Model.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
2019
Exponential Stability, Passivity, and Dissipativity Analysis of Generalized Neural Networks With Mixed Time-Varying Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Finite-Time Passivity-Based Stability Criteria for Delayed Discrete-Time Neural Networks via New Weighted Summation Inequalities.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Neural Process. Lett., 2019
Exponential dissipativity criteria for generalized BAM neural networks with variable delays.
Neural Comput. Appl., 2019
Exponential sampled-data control for T-S fuzzy systems: application to Chua's circuit.
Int. J. Syst. Sci., 2019
Event-triggered state estimation for Markovian jumping impulsive neural networks with interval time-varying delays.
Int. J. Control, 2019
Finite-time synchronization of sampled-data T-S fuzzy complex dynamical networks subject to average dwell-time approach.
Fuzzy Sets Syst., 2019
Proceedings of the 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2019
Gain-Scheduled Robust Pareto Static Output Feedback Strategy for Stochastic LPV Systems.
Proceedings of the 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2019
Robust Nash Strategy for Uncertain Delay Systems with LSTM and Its Application for TCP/AQM Congestion Control.
Proceedings of the 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2019
Robust Nash Static Output Feedback Strategy for Uncertain Markov Jump Delay Stochastic Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Open-Loop Dymanic Games for Interconnected Positive Nonlinear Systems with H∞ Constraint.
Proceedings of the 12th Asian Control Conference, 2019
2018
Robust extended dissipativity criteria for discrete-time uncertain neural networks with time-varying delays.
Neural Comput. Appl., 2018
Exponential stability of semi-Markovian jump generalized neural networks with interval time-varying delays.
Neural Comput. Appl., 2018
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays.
Neural Comput. Appl., 2018
Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control.
Neural Comput. Appl., 2018
2017
Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2017
Improved exponential convergence result for generalized neural networks including interval time-varying delayed signals.
Neural Networks, 2017
Stochastic H<sub>∞</sub> filtering for neural networks with leakage delay and mixed time-varying delays.
Inf. Sci., 2017
Int. J. Syst. Sci., 2017
Robust H∞ control of uncertain stochastic Markovian jump systems with mixed time-varying delays.
Int. J. Syst. Sci., 2017
2016
H<sub>∞</sub> state estimation of stochastic neural networks with mixed time-varying delays.
Soft Comput., 2016
<i>H</i><sub>∞</sub> state estimation of generalised neural networks with interval time-varying delays.
Int. J. Syst. Sci., 2016
New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays.
Neurocomputing, 2016
Novel H<sub>∞</sub> state estimation of static neural networks with interval time-varying delays via augmented Lyapunov-Krasovskii functional.
Neurocomputing, 2016
Improved <i>H<sub>∞</sub></i> performance analysis of uncertain Markovian jump systems with overlapping time-varying delays.
Complex., 2016
2015
Less conservative delay-dependent <sub>H</sub><sub>∞</sub> control of uncertain neural networks with discrete interval and distributed time-varying delays.
Neurocomputing, 2015
Delay-dependent stability criteria of uncertain Markovian jump neural networks with discrete interval and distributed time-varying delays.
Neurocomputing, 2015
2014
Novel delay-dependent robust H<sub>∞</sub> control of uncertain systems with distributed time-varying delays.
Appl. Math. Comput., 2014