Shanmugam Lakshmanan

Orcid: 0000-0002-4622-3782

Affiliations:
  • Deakin University, Institute for Intelligent Systems Research and Innovation, Australia
  • Kunsan National University, South Korea (former)


According to our database1, Shanmugam Lakshmanan authored at least 57 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Decentralized Sampled-Data Control for Stochastic Disturbance in Interconnected Power Systems With PMSG-Based Wind Turbines.
IEEE Trans. Cybern., June, 2024

Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique.
Inf. Fusion, 2024

2023
Adaptive neural networks-based integral sliding mode control for T-S fuzzy model of delayed nonlinear systems.
Appl. Math. Comput., August, 2023

2022
Stability Criteria for Fuzzy-Based Sampled-Data Control Systems via a Fractional Parameter-Based Refined Looped Lyapunov Functional.
IEEE Trans. Fuzzy Syst., 2022

2021
Stability and Stabilization for T-S Fuzzy Large-Scale Interconnected Power System With Wind Farm via Sampled-Data Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and its Application to PMSM.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Further Stability and Stabilization Condition for Sampled-Data Control Systems via Looped-Functional Method.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Investigation on stability of delayed T-S fuzzy interconnected systems via decentralized memory-based sampled-data control and validation through interconnected power systems with DFIG-based wind turbines.
Inf. Sci., 2021

Stabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach.
Inf. Sci., 2021

2020
Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication.
IEEE Trans. Cybern., 2020

2019
Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model.
IEEE Trans. Fuzzy Syst., 2019

Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays.
IEEE Trans. Cybern., 2019

Dissipativity analysis of complex-valued BAM neural networks with time delay.
Neural Comput. Appl., 2019

Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption.
Inf. Sci., 2019

Optimal control of tumour-immune model with time-delay and immuno-chemotherapy.
Appl. Math. Comput., 2019

2018
Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication.
IEEE Trans. Neural Networks Learn. Syst., 2018

Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays.
IEEE Trans. Cybern., 2018

Finite-time stability analysis for fractional-order Cohen-Grossberg BAM neural networks with time delays.
Neural Comput. Appl., 2018

A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator.
J. Syst. Control. Eng., 2018

Applications of Delay Differential Equations in Biological Systems.
Complex., 2018

State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties.
Appl. Math. Comput., 2018

2017
Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays.
IEEE Trans. Neural Networks Learn. Syst., 2017

Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances.
J. Frankl. Inst., 2017

Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations.
IMA J. Math. Control. Inf., 2017

Functional observer design for retarded system with interval time-varying delays.
Int. J. Syst. Sci., 2017

Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach.
Neurocomputing, 2017

H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays.
Proceedings of the 11th Asian Control Conference, 2017

2016
Synchronization of Markovian jumping inertial neural networks and its applications in image encryption.
Neural Networks, 2016

Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control.
J. Frankl. Inst., 2016

Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays.
J. Frankl. Inst., 2016

Partial state estimation of LTI systems with multiple constant time-delays.
J. Frankl. Inst., 2016

Stability analysis of memristor-based complex-valued recurrent neural networks with time delays.
Complex., 2016

Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives.
Complex., 2016

Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays.
Complex., 2016

2015
Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays.
Neural Process. Lett., 2015

Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control.
J. Frankl. Inst., 2015

Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control.
Complex., 2015

Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach.
Neural Networks, 2014

Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses.
Neurocomputing, 2014

Delay-dependent H<sub>∞</sub> state estimation of neural networks with mixed time-varying delays.
Neurocomputing, 2014

Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control.
Neurocomputing, 2014

State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory.
Complex., 2014

A time delay model of tumour-immune system interactions: Global dynamics, parameter estimation, sensitivity analysis.
Appl. Math. Comput., 2014

2013
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control.
Neurocomputing, 2013

A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays.
Neurocomputing, 2013

Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays.
Circuits Syst. Signal Process., 2013

Robust Delay-Dependent Stability Criteria for Dynamic Systems with Nonlinear Perturbations and Leakage Delay.
Circuits Syst. Signal Process., 2013

Design of state estimator for genetic regulatory networks with time-varying delays and randomly occurring uncertainties.
Biosyst., 2013

Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays.
Appl. Math. Comput., 2013

2012
LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties.
Int. J. Appl. Math. Comput. Sci., 2012

Design of state estimator for neural networks with leakage, discrete and distributed delays.
Appl. Math. Comput., 2012

2011
Delay-interval-dependent robust-stability criteria for neutral stochastic neural networks with polytopic and linear fractional uncertainties.
Int. J. Comput. Math., 2011

LMI Conditions for Robust Stability Analysis of Stochastic Hopfield Neural Networks with Interval Time-Varying Delays and Linear Fractional Uncertainties.
Circuits Syst. Signal Process., 2011

2009
Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties.
Neurocomputing, 2009


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