Lakshmanan Shanmugam
Lakshmanan Shanmugam
Research Center for Wind Energy Systems, Kunsan National University
Verified email at kunsan.ac.kr
Title
Cited by
Cited by
Year
Synchronization of an inertial neural network with time-varying delays and its application to secure communication
S Lakshmanan, M Prakash, CP Lim, R Rakkiyappan, P Balasubramaniam, ...
IEEE transactions on neural networks and learning systems 29 (1), 195-207, 2018
1412018
Improved results on robust stability of neutral systems with mixed time-varying delays and nonlinear perturbations
S Lakshmanan, T Senthilkumar, P Balasubramaniam
Applied Mathematical Modelling 35 (11), 5355-5368, 2011
1132011
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
A Chandrasekar, R Rakkiyappan, J Cao, S Lakshmanan
Neural Networks 57, 79-93, 2014
1032014
Fractional-order delayed predator–prey systems with Holling type-II functional response
FA Rihan, S Lakshmanan, AH Hashish, R Rakkiyappan, E Ahmed
Nonlinear Dynamics 80 (1), 777-789, 2015
1002015
Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays
S Lakshmanan, JH Park, TH Lee, HY Jung, R Rakkiyappan
Applied Mathematics and Computation 219 (17), 9408-9423, 2013
852013
A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays
S Lakshmanan, JH Park, HY Jung, OM Kwon, R Rakkiyappan
Neurocomputing 111, 81-89, 2013
802013
Synchronization of Markovian jumping inertial neural networks and its applications in image encryption
M Prakash, P Balasubramaniam, S Lakshmanan
Neural Networks 83, 86-93, 2016
782016
Robust stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays
R Rakkiyappan, P Balasubramaniam, S Lakshmanan
Physics Letters A 372 (32), 5290-5298, 2008
782008
State estimation for Markovian jumping recurrent neural networks with interval time-varying delays
P Balasubramaniam, S Lakshmanan, SJS Theesar
Nonlinear Dynamics 60 (4), 661-675, 2010
712010
A time delay model of tumour–immune system interactions: Global dynamics, parameter estimation, sensitivity analysis
FA Rihan, DHA Rahman, S Lakshmanan, AS Alkhajeh
Applied Mathematics and Computation 232, 606-623, 2014
652014
Design of state estimator for neural networks with leakage, discrete and distributed delays
S Lakshmanan, JH Park, HY Jung, P Balasubramaniam
Applied Mathematics and Computation 218 (22), 11297-11310, 2012
652012
Delay-dependent H∞ state estimation of neural networks with mixed time-varying delays
S Lakshmanan, K Mathiyalagan, JH Park, R Sakthivel, FA Rihan
Neurocomputing 129, 392-400, 2014
642014
State estimation of neural networks with time-varying delays and Markovian jumping parameter based on passivity theory
S Lakshmanan, JH Park, DH Ji, HY Jung, G Nagamani
Nonlinear Dynamics 70 (2), 1421-1434, 2012
592012
State estimation for genetic regulatory networks with mode-dependent leakage delays, time-varying delays, and Markovian jumping parameters
TH Lee, S Lakshmanan, JH Park, P Balasubramaniam
IEEE transactions on nanobioscience 12 (4), 363-375, 2013
552013
Stability analysis of the differential genetic regulatory networks model with time-varying delays and Markovian jumping parameters
S Lakshmanan, FA Rihan, R Rakkiyappan, JH Park
Nonlinear analysis: Hybrid systems 14, 1-15, 2014
512014
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control
A Chandrasekar, R Rakkiyappan, FA Rihan, S Lakshmanan
Neurocomputing 133, 385-398, 2014
512014
State estimation of memristor‐based recurrent neural networks with time‐varying delays based on passivity theory
R Rakkiyappan, A Chandrasekar, S Laksmanan, JH Park
Complexity 19 (4), 32-43, 2014
512014
On fractional SIRC model with salmonella bacterial infection
FA Rihan, D Baleanu, S Lakshmanan, R Rakkiyappan
Abstract and Applied Analysis 2014, 2014
502014
Delay-range dependent stability criteria for neural networks with Markovian jumping parameters
P Balasubramaniam, S Lakshmanan
Nonlinear Analysis: Hybrid Systems 3 (4), 749-756, 2009
482009
Adaptive synchronization of reaction–diffusion neural networks and its application to secure communication
L Shanmugam, P Mani, R Rajan, YH Joo
Ieee transactions on cybernetics 50 (3), 911-922, 2018
472018
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