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Lakshmanan Shanmugam
Lakshmanan Shanmugam
Associate Professor, Division of Mathematics, School of Advanced Sciences, Vellore Institute of
Verified email at vit.ac.in - Homepage
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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
2092018
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
1402015
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
1302016
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
1222011
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
1042014
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
982018
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
962014
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
912013
Adaptive fractional fuzzy integral sliding mode control for PMSM model
P Mani, R Rajan, L Shanmugam, YH Joo
IEEE Transactions on Fuzzy Systems 27 (8), 1674-1686, 2018
892018
Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption
P Mani, R Rajan, L Shanmugam, YH Joo
Information Sciences 491, 74-89, 2019
862019
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
832013
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
792008
On fractional SIRC model with salmonella bacterial infection
FA Rihan, D Baleanu, S Lakshmanan, R Rakkiyappan
Abstract and Applied Analysis 2014, 2014
762014
State estimation for Markovian jumping recurrent neural networks with interval time-varying delays
P Balasubramaniam, S Lakshmanan, S Jeeva Sathya Theesar
Nonlinear Dynamics 60 (4), 661-675, 2010
732010
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
722014
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
682012
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
672013
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
652014
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
612012
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
562014
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