Gnaneswaran Nagamani
Orcid: 0000-0002-6405-2235
According to our database1,
Gnaneswaran Nagamani
authored at least 40 papers
between 2010 and 2024.
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Bibliography
2024
Extended dissipative criteria for delayed semi-discretized competitive neural networks.
Neural Process. Lett., April, 2024
Co-existence of robust output-feedback synchronization and anti-synchronization of delayed discrete-time neural networks with its application.
Comput. Appl. Math., February, 2024
Exponential H∞ filtering for complex-valued uncertain discrete-time neural networks with time-varying delays.
Commun. Nonlinear Sci. Numer. Simul., January, 2024
2023
Exponential H∞ synchronization and anti-synchronization of delayed discrete-time complex-valued neural networks with uncertainties.
Math. Comput. Simul., May, 2023
Extended Dissipativity Performance for the Delayed Discrete-Time Neural Networks with Observer-Based Control.
Neural Process. Lett., April, 2023
Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties.
Neural Networks, February, 2023
Synchronization of Uncertain Neural Networks with Additive Time-Varying Delays and General Activation Function.
Neural Process. Lett., 2023
Non-fragile extended dissipative synchronization control of delayed uncertain discrete-time neural networks.
Commun. Nonlinear Sci. Numer. Simul., 2023
2022
Extended dissipativity criterion for fractional-order neural networks with time-varying parameter and interval uncertainties.
Comput. Appl. Math., April, 2022
Soft Comput., 2022
Global synchronization of uncertain fractional-order BAM neural networks with time delay via improved fractional-order integral inequality.
Math. Comput. Simul., 2022
Non-fragile state estimation for memristive cellular neural networks with proportional delay.
Math. Comput. Simul., 2022
Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design.
J. Frankl. Inst., 2022
2021
Robust Exponential Stability Analysis for Stochastic Systems With Actuator Faults Using Improved Weighted Relaxed Integral Inequality.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Delay-Dependent and Independent State Estimation for BAM Cellular Neural Networks with Multi-Proportional Delays.
Circuits Syst. Signal Process., 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Exponential State Estimation for Memristor-Based Discrete-Time BAM Neural Networks With Additive Delay Components.
IEEE Trans. Cybern., 2020
An LMI Based State Estimation for Fractional-Order Memristive Neural Networks with Leakage and Time Delays.
Neural Process. Lett., 2020
Robust extended dissipativity analysis for Markovian jump discrete-time delayed stochastic singular neural networks.
Neural Comput. Appl., 2020
Robust state estimation for fractional-order delayed BAM neural networks via LMI approach.
J. Frankl. Inst., 2020
Event-triggered observer-based sliding mode control for T-S fuzzy systems via improved relaxed-based integral inequality.
J. Frankl. Inst., 2020
Robust event-triggered reliable control for T-S fuzzy uncertain systems via weighted based inequality.
Inf. Sci., 2020
2019
Observer-based exponential stabilization for time-delay systems via augmented weighted integral inequality.
J. Frankl. Inst., 2019
A linear matrix inequality-based extended dissipativity criteria for linear systems with additive time-varying delays.
IFAC J. Syst. Control., 2019
2018
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays.
Neural Comput. Appl., 2018
2017
An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components.
IEEE Trans. Neural Networks Learn. Syst., 2017
Further Results on Dissipativity Criterion for Markovian Jump Discrete-Time Neural Networks with Two Delay Components Via Discrete Wirtinger Inequality Approach.
Neural Process. Lett., 2017
Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays.
Neural Comput. Appl., 2017
Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays.
Int. J. Comput. Math., 2017
2016
Dissipativity and Passivity Analysis of Markovian Jump Neural Networks with Two Additive Time-Varying Delays.
Neural Process. Lett., 2016
Dissipativity and passivity analysis for discrete-time T-S fuzzy stochastic neural networks with leakage time-varying delays based on Abel lemma approach.
J. Frankl. Inst., 2016
Dissipativity and passivity analysis for uncertain discrete-time stochastic Markovian jump neural networks with additive time-varying delays.
Neurocomputing, 2016
A delay decomposition approach for robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay.
Complex., 2016
Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay.
Complex., 2016
Stochastic dissipativity and passivity analysis for discrete-time neural networks with probabilistic time-varying delays in the leakage term.
Appl. Math. Comput., 2016
2012
Global robust passivity analysis for stochastic fuzzy interval neural networks with time-varying delays.
Expert Syst. Appl., 2012
A Delay Decomposition Approach to Delay-Dependent Robust Passive Control for Takagi-Sugeno Fuzzy Nonlinear Systems.
Circuits Syst. Signal Process., 2012
2011
Global Robust Passivity Analysis for Stochastic Interval Neural Networks with Interval Time-Varying Delays and Markovian Jumping Parameters.
J. Optim. Theory Appl., 2011
A delay decomposition approach to delay-dependent passivity analysis for interval neural networks with time-varying delay.
Neurocomputing, 2011
2010
Global Passivity Analysis of Interval Neural Networks with Discrete and Distributed Delays of Neutral Type.
Neural Process. Lett., 2010