G. Velmurugan
Orcid: 0000-0002-1791-1789
According to our database1,
G. Velmurugan
authored at least 22 papers
between 2014 and 2024.
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Bibliography
2024
Sampled-Data Control Design for T-S Fuzzy System via Quadratic Function Negative-Determination Approach.
IEEE Trans. Fuzzy Syst., March, 2024
2023
Stabilization Analysis for Nonlinear Systems Under Coupled Fuzzy Controller: A Non-PDC Approach.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
2022
T-S Fuzzy Sampled-Data Control for Nonlinear Systems With Actuator Faults and Its Application to Wind Energy System.
IEEE Trans. Fuzzy Syst., 2022
2020
Inf. Sci., 2020
2019
Exponential Synchronization of Inertial Memristor-Based Neural Networks with Time Delay Using Average Impulsive Interval Approach.
Neural Process. Lett., 2019
Int. J. Online Biomed. Eng., 2019
2018
Event-triggered H∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization.
Neural Networks, 2018
A fractional-order model for Ebola virus infection with delayed immune response on heterogeneous complex networks.
J. Comput. Appl. Math., 2018
2017
Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay.
Neural Networks, 2017
Exponential synchronization of Lur'e complex dynamical networks with uncertain inner coupling and pinning impulsive control.
Appl. Math. Comput., 2017
2016
Finite-time synchronization of fractional-order memristor-based neural networks with time delays.
Neural Networks, 2016
Analysis of global O(t<sup>-α</sup>) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays.
Neural Networks, 2016
Global dissipativity of memristor-based complex-valued neural networks with time-varying delays.
Neural Comput. Appl., 2016
Stability analysis of memristor-based complex-valued recurrent neural networks with time delays.
Complex., 2016
2015
Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays.
IEEE Trans. Neural Networks Learn. Syst., 2015
Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays.
Neural Process. Lett., 2015
Complete Stability Analysis of Complex-Valued Neural Networks with Time Delays and Impulses.
Neural Process. Lett., 2015
Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays.
Neural Networks, 2015
Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays.
Inf. Sci., 2015
Multiple μ-stability analysis of complex-valued neural networks with unbounded time-varying delays.
Neurocomputing, 2015
Comments and further improvements on "Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays"[Neurocomputing 144 (2014) 391-407].
Neurocomputing, 2015
2014
Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays.
Neurocomputing, 2014