Rajendran Samidurai
Orcid: 0000-0003-0265-9426Affiliations:
- Thiruvalluvar University, Department of Mathematics, Tamil Nadu, India
According to our database1,
Rajendran Samidurai
authored at least 42 papers
between 2009 and 2023.
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Bibliography
2023
Finite-Time Synchronization for T-S Fuzzy Complex-Valued Inertial Delayed Neural Networks Via Decomposition Approach.
Neural Process. Lett., October, 2023
2021
Leakage delay on stabilization of finite-time complex-valued BAM neural network: Decomposition approach.
Neurocomputing, 2021
2020
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., 2020
Discrete-Time Stochastic Quaternion-Valued Neural Networks with Time Delays: An Asymptotic Stability Analysis.
Symmetry, 2020
An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters.
Symmetry, 2020
Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays.
Math. Comput. Simul., 2020
Robust stability of uncertain stochastic complex-valued neural networks with additive time-varying delays.
Math. Comput. Simul., 2020
Stability and stabilization analysis of nonlinear time-delay systems with randomly occurring controller gain fluctuation.
Math. Comput. Simul., 2020
2019
New Delay-Dependent Stability Criteria for Impulsive Neural Networks with Additive Time-Varying Delay Components and Leakage Term.
Neural Process. Lett., 2019
Robust dissipativity analysis for uncertain neural networks with additive time-varying delays and general activation functions.
Math. Comput. Simul., 2019
Robust passivity analysis for uncertain neural networks with leakage delay and additive time-varying delays by using general activation function.
Math. Comput. Simul., 2019
Non-fragile sampled-data stabilization analysis for linear systems with probabilistic time-varying delays.
J. Frankl. Inst., 2019
Stability and Dissipativity Analysis for Neutral Type Stochastic Markovian Jump Static Neural Networks with Time Delays.
J. Artif. Intell. Soft Comput. Res., 2019
Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays.
Int. J. Syst. Sci., 2019
Stability and dissipativity analysis for uncertain Markovian jump systems with random delays via new approach.
Int. J. Syst. Sci., 2019
Leakage delay-dependent stability analysis for complex-valued neural networks with discrete and distributed time-varying delays.
Neurocomputing, 2019
2018
New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Passivity analysis of uncertain stochastic neural network with leakage and distributed delays under impulsive perturbations.
Kybernetika, 2018
Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals.
Inf. Sci., 2018
2017
Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals.
Neural Networks, 2017
An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays.
Neural Comput. Appl., 2017
Effects of leakage delays and impulsive control in dissipativity analysis of Takagi-Sugeno fuzzy neural networks with randomly occurring uncertainties.
J. Frankl. Inst., 2017
Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays.
J. Frankl. Inst., 2017
Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals.
J. Frankl. Inst., 2017
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., 2017
Improved Results on Delay-Dependent H<sub>∞</sub> Control for Uncertain Systems with Time-Varying Delays.
Circuits Syst. Signal Process., 2017
Finite-time non-fragile passivity control for neural networks with time-varying delay.
Appl. Math. Comput., 2017
2016
Delay-dependent asymptotic stability criteria for genetic regulatory networks with impulsive perturbations.
Neurocomputing, 2016
New delay-interval-dependent stability criteria for static neural networks with time-varying delays.
Neurocomputing, 2016
Exponential passivity analysis of stochastic neural networks with leakage, distributed delays and Markovian jumping parameters.
Neurocomputing, 2016
New delay-interval-dependent stability analysis of neutral type BAM neural networks with successive time delay components.
Neurocomputing, 2016
Robust passivity analysis for neutral-type neural networks with mixed and leakage delays.
Neurocomputing, 2016
Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays.
Neurocomputing, 2016
2015
Improved stochastic dissipativity of uncertain discrete-time neural networks with multiple delays and impulses.
Int. J. Mach. Learn. Cybern., 2015
Robust passivity analysis for stochastic impulsive neural networks with leakage and additive time-varying delay components.
Appl. Math. Comput., 2015
Improved stability analysis of uncertain neutral type neural networks with leakage delays and impulsive effects.
Appl. Math. Comput., 2015
2014
Passivity analysis for uncertain discrete-time stochastic BAM neural networks with time-varying delays.
Neural Comput. Appl., 2014
Dynamic analysis of discrete-time BAM neural networks with stochastic perturbations and impulses.
Int. J. Mach. Learn. Cybern., 2014
2013
Dissipativity of discrete-time BAM stochastic neural networks with Markovian switching and impulses.
J. Frankl. Inst., 2013
2012
New delay dependent robust asymptotic stability for uncertain stochastic recurrent neural networks with multiple time varying delays.
J. Frankl. Inst., 2012
2010
Asymptotic Stability of Stochastic Delayed Recurrent Neural Networks with Impulsive Effects.
J. Optim. Theory Appl., 2010
2009
Appl. Math. Comput., 2009