Shanmugam Lakshmanan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 36

Top Topics

Nonlinear Systems

Stability Analysis

Top Venues

J. Frankl. Inst.

IEEE Trans. Cybern.

Appl. Math. Comput.

Publications

Shanmugam Lakshmanan, Kumarasamy Palanimuthu, Young Hoon Joo
Decentralized Sampled-Data Control for Stochastic Disturbance in Interconnected Power Systems With PMSG-Based Wind Turbines. IEEE Trans. Cybern. 54 (6) (2024)
Bhuvaneshwari Ganesan, Mani Prakash, Shanmugam Lakshmanan, Manivannan Annamalai
Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Chithra Selvam, Reegan Jebadass Johnson Jebadass, Dhanasekar Sundaram, Shanmugam Lakshmanan
A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique. Inf. Fusion 108 (2024)
Shanmugam Lakshmanan, Young Hoon Joo
Adaptive neural networks-based integral sliding mode control for T-S fuzzy model of delayed nonlinear systems. Appl. Math. Comput. 450 (2023)
Shanmugam Lakshmanan, Young Hoon Joo
Stability Criteria for Fuzzy-Based Sampled-Data Control Systems via a Fractional Parameter-Based Refined Looped Lyapunov Functional. IEEE Trans. Fuzzy Syst. 30 (7) (2022)
Shanmugam Lakshmanan, Young Hoon Joo
Stabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach. Inf. Sci. 559 (2021)
Shanmugam Lakshmanan, Young Hoon Joo
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. 51 (4) (2021)
Shanmugam Lakshmanan, Young Hoon Joo
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. 51 (1) (2021)
Shanmugam Lakshmanan, Young Hoon Joo
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. 580 (2021)
Shanmugam Lakshmanan, Young Hoon Joo
Further Stability and Stabilization Condition for Sampled-Data Control Systems via Looped-Functional Method. IEEE Trans. Circuits Syst. II Express Briefs 68 (1) (2021)
Shanmugam Lakshmanan, Mani Prakash, Rajan Rakkiyappan, Young Hoon Joo
Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication. IEEE Trans. Cybern. 50 (3) (2020)
Rajivganthi Chinnathambi, Fathalla A. Rihan, Shanmugam Lakshmanan
Dissipativity analysis of complex-valued BAM neural networks with time delay. Neural Comput. Appl. 31 (1) (2019)
Mani Prakash, Rajan Rakkiyappan, Shanmugam Lakshmanan, Young Hoon Joo
Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model. IEEE Trans. Fuzzy Syst. 27 (8) (2019)
Fathalla A. Rihan, Shanmugam Lakshmanan, H. Maurer
Optimal control of tumour-immune model with time-delay and immuno-chemotherapy. Appl. Math. Comput. 353 (2019)
Muthukumar Palanisamy, S. Arunagirinathan, Shanmugam Lakshmanan
Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays. IEEE Trans. Cybern. 49 (4) (2019)
Mani Prakash, Rajan Rakkiyappan, Shanmugam Lakshmanan, Young Hoon Joo
Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption. Inf. Sci. 491 (2019)
Shanmugam Lakshmanan, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 29 (1) (2018)
K. Subramanian, Muthukumar Palanisamy, Shanmugam Lakshmanan
State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties. Appl. Math. Comput. 321 (2018)
Saba Al-Wais, Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi
Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 48 (12) (2018)
Houshyar Asadi, Chee Peng Lim, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Shanmugam Lakshmanan
A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. J. Syst. Control. Eng. 232 (8) (2018)
Fathalla A. Rihan, Cemil Tunç, S. H. Saker, Shanmugam Lakshmanan, R. Rakkiyappan
Applications of Delay Differential Equations in Biological Systems. Complex. 2018 (2018)
Rajivganthi Chinnathambi, Fathalla A. Rihan, Shanmugam Lakshmanan, Muthukumar Palanisamy
Finite-time stability analysis for fractional-order Cohen-Grossberg BAM neural networks with time delays. Neural Comput. Appl. 29 (12) (2018)
Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi, Ju H. Park
Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays. IEEE Trans. Cybern. 48 (7) (2018)
Shanmugam Lakshmanan, Chee Peng Lim, Mani Prakash, Saeid Nahavandi, Pagavathigounder Balasubramaniam
Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach. Neurocomputing 230 (2017)
Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Rajan Rakkiyappan, Saeid Nahavandi, Ju H. Park
Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances. J. Frankl. Inst. 354 (2) (2017)
K. Sivaranjani, R. Rakkiyappan, Shanmugam Lakshmanan, Chee Peng Lim
Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations. IMA J. Math. Control. Inf. 34 (1) (2017)
Shanmugam Lakshmanan, Chee Peng Lim, Saeid Nahavandi, Mani Prakash, P. Balasubramaniam
Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays. IEEE Trans. Neural Networks Learn. Syst. 28 (8) (2017)
Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi, Mehrdad Saif
Functional observer design for retarded system with interval time-varying delays. Int. J. Syst. Sci. 48 (5) (2017)
Saba Al-Wais, Tae H. Lee, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi
H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays. ASCC (2017)
Rajan Rakkiyappan, Gandhi Velmurugan, Fathalla A. Rihan, Shanmugam Lakshmanan
Stability analysis of memristor-based complex-valued recurrent neural networks with time delays. Complex. 21 (4) (2016)
Muthukumar Palanisamy, K. Subramanian, Shanmugam Lakshmanan
Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays. J. Frankl. Inst. 353 (16) (2016)
Muhammed Syed Ali, Pagavathigounder Balasubramaniam, Fathalla A. Rihan, Shanmugam Lakshmanan
Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays. Complex. 21 (5) (2016)
R. Rakkiyappan, Rathinasamy Sasirekha, Shanmugam Lakshmanan, Chee Peng Lim
Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control. J. Frankl. Inst. 353 (16) (2016)
Mani Prakash, Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan
Synchronization of Markovian jumping inertial neural networks and its applications in image encryption. Neural Networks 83 (2016)
Reza Mohajerpoor, Hamid Abdi, Shanmugam Lakshmanan, Saeid Nahavandi
Partial state estimation of LTI systems with multiple constant time-delays. J. Frankl. Inst. 353 (2) (2016)
Rajivganthi Chinnathambi, Fathalla A. Rihan, Shanmugam Lakshmanan, Rajan Rakkiyappan, Muthukumar Palanisamy
Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives. Complex. 21 (S2) (2016)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park
Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control. Complex. 20 (3) (2015)
G. Velmurugan, R. Rakkiyappan, Shanmugam Lakshmanan
Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays. Neural Process. Lett. 42 (3) (2015)
R. Rakkiyappan, B. Kaviarasan, Fathalla A. Rihan, Shanmugam Lakshmanan
Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control. J. Frankl. Inst. 352 (8) (2015)
Shanmugam Lakshmanan, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. ICONIP (3) (2015)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. Neurocomputing 131 (2014)
A. Chandrasekar, R. Rakkiyappan, Fathalla A. Rihan, Shanmugam Lakshmanan
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control. Neurocomputing 133 (2014)
A. Chandrasekar, R. Rakkiyappan, Jinde Cao, Shanmugam Lakshmanan
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. Neural Networks 57 (2014)
Shanmugam Lakshmanan, K. Mathiyalagan, Ju H. Park, Rathinasamy Sakthivel, Fathalla A. Rihan
state estimation of neural networks with mixed time-varying delays. Neurocomputing 129 (2014)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park
State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory. Complex. 19 (4) (2014)
Fathalla A. Rihan, D. H. Abdel Rahman, Shanmugam Lakshmanan, A. S. Alkhajeh
A time delay model of tumour-immune system interactions: Global dynamics, parameter estimation, sensitivity analysis. Appl. Math. Comput. 232 (2014)
Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung
Robust Delay-Dependent Stability Criteria for Dynamic Systems with Nonlinear Perturbations and Leakage Delay. Circuits Syst. Signal Process. 32 (4) (2013)
Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, O. M. Kwon, R. Rakkiyappan
A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays. Neurocomputing 111 (2013)
Shanmugam Lakshmanan, Ju H. Park, Tae H. Lee, Ho Y. Jung, R. Rakkiyappan
Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays. Appl. Math. Comput. 219 (17) (2013)
Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, Pagavathigounder Balasubramaniam, Sang-Moon Lee
Design of state estimator for genetic regulatory networks with time-varying delays and randomly occurring uncertainties. Biosyst. 111 (1) (2013)
R. Rakkiyappan, Shanmugam Lakshmanan, Pagavathigounder Balasubramaniam
Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays. Circuits Syst. Signal Process. 32 (3) (2013)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control. Neurocomputing 121 (2013)
Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, Rajan Rakkiyappan
LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties. Int. J. Appl. Math. Comput. Sci. 22 (2) (2012)
Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung, Pagavathigounder Balasubramaniam
Design of state estimator for neural networks with leakage, discrete and distributed delays. Appl. Math. Comput. 218 (22) (2012)
Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan
Delay-interval-dependent robust-stability criteria for neutral stochastic neural networks with polytopic and linear fractional uncertainties. Int. J. Comput. Math. 88 (10) (2011)
Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan
LMI Conditions for Robust Stability Analysis of Stochastic Hopfield Neural Networks with Interval Time-Varying Delays and Linear Fractional Uncertainties. Circuits Syst. Signal Process. 30 (5) (2011)
Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, R. Rakkiyappan
Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. Neurocomputing 72 (16-18) (2009)