G. Velmurugan
Orcid: 0000-0002-1791-1789
According to our database1,
G. Velmurugan
authored at least 23 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
J. Appl. Math. Comput., June, 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