Rajendran Samidurai

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 36

Top Topics

Takagi Sugeno Fuzzy

Asymptotic Stability

Stability Analysis

Malicious Behavior

Top Venues

Math. Comput. Simul.

J. Frankl. Inst.

Appl. Math. Comput.

Publications

S. Ramajayam, S. Rajavel, Rajendran Samidurai, Yang Cao
Finite-Time Synchronization for T-S Fuzzy Complex-Valued Inertial Delayed Neural Networks Via Decomposition Approach. Neural Process. Lett. 55 (5) (2023)
Yang Cao, S. Ramajayam, Ramalingam Sriraman, Rajendran Samidurai
Leakage delay on stabilization of finite-time complex-valued BAM neural network: Decomposition approach. Neurocomputing 463 (2021)
Ramalingam Sriraman, Grienggrai Rajchakit, Chee Peng Lim, Pharunyou Chanthorn, Rajendran Samidurai
Discrete-Time Stochastic Quaternion-Valued Neural Networks with Time Delays: An Asymptotic Stability Analysis. Symmetry 12 (6) (2020)
Ramalingam Sriraman, Yang Cao, Rajendran Samidurai
Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays. Math. Comput. Simul. 171 (2020)
Yang Cao, Ramalingam Sriraman, N. Shyamsundarraj, Rajendran Samidurai
Robust stability of uncertain stochastic complex-valued neural networks with additive time-varying delays. Math. Comput. Simul. 171 (2020)
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Matjaz Perc
Design of Resilient Reliable Dissipativity Control for Systems With Actuator Faults and Probabilistic Time-Delay Signals via Sampled-Data Approach. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Usa Humphries, Grienggrai Rajchakit, Ramalingam Sriraman, Pramet Kaewmesri, Pharunyou Chanthorn, Chee Peng Lim, Rajendran Samidurai
An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters. Symmetry 12 (6) (2020)
Yang Cao, Ramalingam Sriraman, Rajendran Samidurai
Stability and stabilization analysis of nonlinear time-delay systems with randomly occurring controller gain fluctuation. Math. Comput. Simul. 171 (2020)
Yang Cao, Rajendran Samidurai, Ramalingam Sriraman
Robust passivity analysis for uncertain neural networks with leakage delay and additive time-varying delays by using general activation function. Math. Comput. Simul. 155 (2019)
Rajendran Samidurai, Ramalingam Sriraman, Song Zhu
Leakage delay-dependent stability analysis for complex-valued neural networks with discrete and distributed time-varying delays. Neurocomputing 338 (2019)
Rajendran Samidurai, Ramalingam Sriraman
Robust dissipativity analysis for uncertain neural networks with additive time-varying delays and general activation functions. Math. Comput. Simul. 155 (2019)
Rajendran Samidurai, Ramalingam Sriraman, Song Zhu
Stability and dissipativity analysis for uncertain Markovian jump systems with random delays via new approach. Int. J. Syst. Sci. 50 (8) (2019)
Yang Cao, Rajendran Samidurai, Ramalingam Sriraman
Stability and Dissipativity Analysis for Neutral Type Stochastic Markovian Jump Static Neural Networks with Time Delays. J. Artif. Intell. Soft Comput. Res. 9 (3) (2019)
Ramalingam Sriraman, Rajendran Samidurai
Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays. Int. J. Syst. Sci. 50 (9) (2019)
Rajendran Samidurai, S. Rajavel, Jinde Cao, Ahmed Alsaedi, Bashir Ahmad
New Delay-Dependent Stability Criteria for Impulsive Neural Networks with Additive Time-Varying Delay Components and Leakage Term. Neural Process. Lett. 49 (2) (2019)
Rajendran Samidurai, Ramalingam Sriraman
Non-fragile sampled-data stabilization analysis for linear systems with probabilistic time-varying delays. J. Frankl. Inst. 356 (8) (2019)
S. Senthilraj, Raja Ramachandran, Rajendran Samidurai, Jinde Cao, Xiaodi Li
Passivity analysis of uncertain stochastic neural network with leakage and distributed delays under impulsive perturbations. Kybernetika 54 (1) (2018)
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi
Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals. Inf. Sci. 424 (2018)
Rajendran Samidurai, Raman Manivannan, Choon Ki Ahn, Hamid Reza Karimi
New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 48 (4) (2018)
Rajendran Samidurai, S. Senthilraj, Quanxin Zhu, Ramachandran Raja, Wei Hu
Effects of leakage delays and impulsive control in dissipativity analysis of Takagi-Sugeno fuzzy neural networks with randomly occurring uncertainties. J. Frankl. Inst. 354 (8) (2017)
Raman Manivannan, G. Mahendrakumar, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi
Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals. J. Frankl. Inst. 354 (11) (2017)
S. Rajavel, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Bashir Ahmad
Finite-time non-fragile passivity control for neural networks with time-varying delay. Appl. Math. Comput. 297 (2017)
R. Raja, Quanxin Zhu, Rajendran Samidurai, S. Senthilraj, Wei Hu
Control for Uncertain Systems with Time-Varying Delays. Circuits Syst. Signal Process. 36 (5) (2017)
Rajendran Samidurai, S. Rajavel, Jinde Cao, Ahmad Alsaedi, Fuad E. Alsaadi, Bashir Ahmad
Delay-partitioning approach to stability analysis of state estimation for neutral-type neural networks with both time-varying delays and leakage term via sampled-data control. Int. J. Syst. Sci. 48 (8) (2017)
Raman Manivannan, Rajendran Samidurai, Quanxin Zhu
Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays. J. Frankl. Inst. 354 (14) (2017)
Raman Manivannan, Rajendran Samidurai, Ramalingam Sriraman
An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays. Neural Comput. Appl. 28 (11) (2017)
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi
Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals. Neural Networks 87 (2017)
S. Senthilraj, Ramachandran Raja, Quanxin Zhu, Rajendran Samidurai, Hongwei Zhou
Delay-dependent asymptotic stability criteria for genetic regulatory networks with impulsive perturbations. Neurocomputing 214 (2016)
S. Senthilraj, Ramachandran Raja, Quanxin Zhu, Rajendran Samidurai, Zhangsong Yao
New delay-interval-dependent stability criteria for static neural networks with time-varying delays. Neurocomputing 186 (2016)
Rajendran Samidurai, S. Rajavel, Quanxin Zhu, Ramachandran Raja, Hongwei Zhou
Robust passivity analysis for neutral-type neural networks with mixed and leakage delays. Neurocomputing 175 (2016)
Rajendran Samidurai, Raman Manivannan
Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays. Neurocomputing 185 (2016)
S. Senthilraj, Ramachandran Raja, Feng Jiang, Quanxin Zhu, Rajendran Samidurai
New delay-interval-dependent stability analysis of neutral type BAM neural networks with successive time delay components. Neurocomputing 171 (2016)
S. Senthilraj, Ramachandran Raja, Quanxin Zhu, Rajendran Samidurai, Zhangsong Yao
Exponential passivity analysis of stochastic neural networks with leakage, distributed delays and Markovian jumping parameters. Neurocomputing 175 (2016)
Ramachandran Raja, U. Karthik Raja, Rajendran Samidurai, A. Leelamani
Improved stochastic dissipativity of uncertain discrete-time neural networks with multiple delays and impulses. Int. J. Mach. Learn. Cybern. 6 (2) (2015)
Ramachandran Raja, Quanxin Zhu, S. Senthilraj, Rajendran Samidurai
Improved stability analysis of uncertain neutral type neural networks with leakage delays and impulsive effects. Appl. Math. Comput. 266 (2015)
Rajendran Samidurai, Raman Manivannan
Robust passivity analysis for stochastic impulsive neural networks with leakage and additive time-varying delay components. Appl. Math. Comput. 268 (2015)
Ramachandran Raja, U. Karthik Raja, Rajendran Samidurai, A. Leelamani
Dynamic analysis of discrete-time BAM neural networks with stochastic perturbations and impulses. Int. J. Mach. Learn. Cybern. 5 (1) (2014)
Ramachandran Raja, U. Karthik Raja, Rajendran Samidurai, A. Leelamani
Passivity analysis for uncertain discrete-time stochastic BAM neural networks with time-varying delays. Neural Comput. Appl. 25 (3-4) (2014)
Ramachandran Raja, U. Karthik Raja, Rajendran Samidurai, A. Leelamani
Dissipativity of discrete-time BAM stochastic neural networks with Markovian switching and impulses. J. Frankl. Inst. 350 (10) (2013)
R. Raja, Rajendran Samidurai
New delay dependent robust asymptotic stability for uncertain stochastic recurrent neural networks with multiple time varying delays. J. Frankl. Inst. 349 (6) (2012)
Rathinasamy Sakthivel, Rajendran Samidurai, Selvaraj Marshal Anthoni
Asymptotic Stability of Stochastic Delayed Recurrent Neural Networks with Impulsive Effects. J. Optim. Theory Appl. 147 (3) (2010)
Rajendran Samidurai, Rathinasamy Sakthivel, Selvaraj Marshal Anthoni
Global asymptotic stability of BAM neural networks with mixed delays and impulses. Appl. Math. Comput. 212 (1) (2009)