Shanmugam Lakshmanan

发表

Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays

Muthukumar Palanisamy, K. Subramanian, Shanmugam Lakshmanan, 2016, J. Frankl. Inst..

Delay-interval-dependent robust-stability criteria for neutral stochastic neural networks with polytopic and linear fractional uncertainties

Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, P. Balasubramaniam, 2011, Int. J. Comput. Math..

Dissipativity analysis of complex-valued BAM neural networks with time delay

Shanmugam Lakshmanan, Rajivganthi Chinnathambi, Fathalla A. Rihan, 2017, Neural Computing and Applications.

Effects of leakage time-varying delays in Markovian jump neural networks with impulse control

Ju H. Park, R. Rakkiyappan, Shanmugam Lakshmanan, 2013, Neurocomputing.

Applications of Delay Differential Equations in Biological Systems

R. Rakkiyappan, Cemil Tunç, Shanmugam Lakshmanan, 2018, Complex..

Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances

Saeid Nahavandi, Ju H. Park, R. Rakkiyappan, 2017, J. Frankl. Inst..

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

Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, Fathalla A. Rihan, 2016, Complex..

Optimal control of tumour-immune model with time-delay and immuno-chemotherapy

Shanmugam Lakshmanan, Fathalla A. Rihan, H. Maurer, 2019, Appl. Math. Comput..

A time delay model of tumour-immune system interactions: Global dynamics, parameter estimation, sensitivity analysis

Shanmugam Lakshmanan, Fathalla A. Rihan, D. H. Abdel Rahman, 2014, Appl. Math. Comput..

H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays

Saeid Nahavandi, Hamid Abdi, Tae H. Lee, 2017, 2017 11th Asian Control Conference (ASCC).

Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays

R. Rakkiyappan, Shanmugam Lakshmanan, G. Velmurugan, 2014, Neural Processing Letters.

Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control

R. Rakkiyappan, B. Kaviarasan, Shanmugam Lakshmanan, 2015, J. Frankl. Inst..

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

Ju H. Park, R. Rakkiyappan, Oh-Min Kwon, 2013, Neurocomputing.

Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control

Chee Peng Lim, R. Rakkiyappan, Shanmugam Lakshmanan, 2016, J. Frankl. Inst..

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

Ju H. Park, R. Rakkiyappan, Shanmugam Lakshmanan, 2014, Complex..

Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays

Pagavathigounder Balasubramaniam, R. Rakkiyappan, Shanmugam Lakshmanan, 2013, Circuits Syst. Signal Process..

Functional observer design for retarded system with interval time-varying delays

Saeid Nahavandi, Reza Mohajerpoor, Hamid Abdi, 2017, Int. J. Syst. Sci..

LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties

Pagavathigounder Balasubramaniam, R. Rakkiyappan, Shanmugam Lakshmanan, 2012, Int. J. Appl. Math. Comput. Sci..

Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach

Chee Peng Lim, Saeid Nahavandi, Asim Bhatti, 2015, ICONIP.

Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach

Jinde Cao, R. Rakkiyappan, Shanmugam Lakshmanan, 2014, Neural Networks.

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

Chee Peng Lim, Saeid Nahavandi, Pagavathigounder Balasubramaniam, 2017, Neurocomputing.

Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays

Muthukumar Palanisamy, Shanmugam Lakshmanan, Rajivganthi Chinnathambi, 2016, Neural Computing and Applications.

Design of state estimator for neural networks with leakage, discrete and distributed delays

Pagavathigounder Balasubramaniam, Ju H. Park, Shanmugam Lakshmanan, 2012, Appl. Math. Comput..

Robust non-fragile control for offshore steel jacket platform with nonlinear perturbations

Chee Peng Lim, R. Rakkiyappan, Shanmugam Lakshmanan, 2015 .

Stability analysis of memristor-based complex-valued recurrent neural networks with time delays

R. Rakkiyappan, Shanmugam Lakshmanan, Fathalla A. Rihan, 2016, Complex..

State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties

Muthukumar Palanisamy, K. Subramanian, Shanmugam Lakshmanan, 2018, Appl. Math. Comput..

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

Ju H. Park, R. Rakkiyappan, Shanmugam Lakshmanan, 2015, Complex..

LMI Conditions for Robust Stability Analysis of Stochastic Hopfield Neural Networks with Interval Time-Varying Delays and Linear Fractional Uncertainties

Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, P. Balasubramaniam, 2011, Circuits Syst. Signal Process..

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

Ju H. Park, R. Rakkiyappan, Shanmugam Lakshmanan, 2014, Neurocomputing.

Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives

R. Rakkiyappan, Muthukumar Palanisamy, Shanmugam Lakshmanan, 2016, Complex..

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

R. Rakkiyappan, Shanmugam Lakshmanan, Fathalla A. Rihan, 2014, Neurocomputing.

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

Pagavathigounder Balasubramaniam, Ju H. Park, Sang-Moon Lee, 2013, Biosyst..

Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption

R. Rakkiyappan, Young Hoon Joo, Mani Prakash, 2019, Inf. Sci..

Robust Delay-Dependent Stability Criteria for Dynamic Systems with Nonlinear Perturbations and Leakage Delay

Ju H. Park, Shanmugam Lakshmanan, Ho Y. Jung, 2013, Circuits, Systems, and Signal Processing.

Asymptotical synchronization of Lur'e systems using network reliable control

Chee Peng Lim, R. Rakkiyappan, Shanmugam Lakshmanan, 2017 .

Delay-dependent H∞ state estimation of neural networks with mixed time-varying delays

Ju H. Park, Rathinasamy Sakthivel, K. Mathiyalagan, 2014, Neurocomputing.

Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

Chee Peng Lim, Saeid Nahavandi, Pagavathigounder Balasubramaniam, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Synchronization of Markovian jumping inertial neural networks and its applications in image encryption

Pagavathigounder Balasubramaniam, Mani Prakash, Shanmugam Lakshmanan, 2016, Neural Networks.

Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties

Pagavathigounder Balasubramaniam, R. Rakkiyappan, Shanmugam Lakshmanan, 2009, Neurocomputing.

Partial state estimation of LTI systems with multiple constant time-delays

Saeid Nahavandi, Reza Mohajerpoor, Hamid Abdi, 2016, J. Frankl. Inst..

Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays

Ju H. Park, R. Rakkiyappan, Tae H. Lee, 2013, Appl. Math. Comput..

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

Young Hoon Joo, Shanmugam Lakshmanan, 2021, Inf. Sci..

Stabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach

Young Hoon Joo, Shanmugam Lakshmanan, Y. Joo, 2021, Inf. Sci..

Leakage-delay-dependent stability analysis of Markovian jumping linear systems with time-varying delays and nonlinear perturbations

R. Rakkiyappan, R. Sivasamy, Shanmugam Lakshmanan, 2016 .

Robust stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays

Pagavathigounder Balasubramaniam, R. Rakkiyappan, Shanmugam Lakshmanan, 2008 .

RESEARCH ARTICLE Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays

R. Rakkiyappan, Shanmugam Lakshmanan, A. Chandrasekar, 2014 .

Stability analysis of the differential genetic regulatory networks model with time-varying delays and Markovian jumping parameters

R. Rakkiyappan, Shanmugam Lakshmanan, Fathalla A. Rihan, 2014 .

Robust stabilization of uncertain neural networks with additive time-varying delays

Shanmugam Lakshmanan, Palanisamy Muthukumar, S. Lakshmanan, 2016 .

State estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters

Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, H. Y. Jung, 2012 .

Linear matrix inequality approach for robust stability analysis for stochastic neural networks with time-varying delay

Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, P. Balasubramaniam, 2011 .

State estimator for neural networks with sampled data using discontinuous Lyapunov functional approach

R. Rakkiyappan, Shanmugam Lakshmanan, Ho-Youl Jung, 2013 .

GLOBAL ROBUST STABILITY CRITERIA FOR T-S FUZZY SYSTEMS WITH DISTRIBUTED DELAYS AND TIME DELAY IN THE LEAKAGE TERM

Pagavathigounder Balasubramaniam, R. Rakkiyappan, Shanmugam Lakshmanan, 2012 .

On Fractional SIRC Model withSalmonellaBacterial Infection

Dumitru Baleanu, R. Rakkiyappan, Shanmugam Lakshmanan, 2014 .

Robust state estimation for discrete-time genetic regulatory networks with randomly occurring uncertainties

Rathinasamy Sakthivel, Shanmugam Lakshmanan, Kalidass Mathiyalagan, 2013 .

Corrigendum to “Exponential state estimation of Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays” [Math. Biosci., 251 (2014) 30–53]

R. Rakkiyappan, Shanmugam Lakshmanan, Fathalla A. Rihan, 2014 .

Fractional-order delayed predator–prey systems with Holling type-II functional response

R. Rakkiyappan, Shanmugam Lakshmanan, Fathalla A. Rihan, 2015 .