| 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 | 341 | 2018 |
| 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 | 211 | 2018 |
| 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 | 198 | 2016 |
| 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, 777-789, 2015 | 193 | 2015 |
| 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 | 191 | 2018 |
| 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 | 162 | 2019 |
| 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 | 142 | 2014 |
| 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 | 129 | 2011 |
| 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 | 117 | 2014 |
| On Fractional SIRC Model with Salmonella Bacterial Infection FA Rihan, D Baleanu, S Lakshmanan, R Rakkiyappan Abstract and Applied Analysis 2014 (1), 136263, 2014 | 96 | 2014 |
| 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 | 96 | 2013 |
| Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and Its Application to PMSM L Shanmugam, YH Joo IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-10, 2018 | 95 | 2018 |
| 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 | 91 | 2013 |
| Optimal control of tumour-immune model with time-delay and immuno-chemotherapy FA Rihan, S Lakshmanan, H Maurer Applied Mathematics and Computation 353, 147-165, 2019 | 84 | 2019 |
| Stability and stabilization for T–S fuzzy large-scale interconnected power system with wind farm via sampled-data control L Shanmugam, YH Joo IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (4), 2134-2144, 2020 | 80 | 2020 |
| 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 | 79 | 2008 |
| Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays C Rajivganthi, FA Rihan, S Lakshmanan, P Muthukumar Neural Computing and Applications 29, 1309-1320, 2018 | 76 | 2018 |
| 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 | 76 | 2013 |
| 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 | 74 | 2010 |
| 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 | 73 | 2014 |
Rakkiyappan RajanBharathiar UniversityVerified email at buc.edu.in
