| Exponential H ∞ filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities JD Cao, R Rakkiyappan, K Maheswari, A Chandrasekar Science China Technological Sciences 59, 387-402, 2016 | 153 | 2016 |
| Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control Q Zhu, R Rakkiyappan, A Chandrasekar Neurocomputing 136, 136-151, 2014 | 133 | 2014 |
| Passivity and passification of memristor-based recurrent neural networks with additive time-varying delays R Rakkiyappan, A Chandrasekar, J Cao IEEE transactions on neural networks and learning systems 26 (9), 2043-2057, 2014 | 117 | 2014 |
| 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 | 114 | 2014 |
| Stability and synchronization analysis of inertial memristive neural networks with time delays R Rakkiyappan, S Premalatha, A Chandrasekar, J Cao Cognitive neurodynamics 10, 437-451, 2016 | 106 | 2016 |
| Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks A Chandrasekar, R Rakkiyappan Neurocomputing 173, 1348-1355, 2016 | 90 | 2016 |
| Exponential synchronization criteria for Markovian jumping neural networks with time-varying delays and sampled-data control R Rakkiyappan, A Chandrasekar, JH Park, OM Kwon Nonlinear Analysis: Hybrid Systems 14, 16-37, 2014 | 76 | 2014 |
| Synchronization and periodicity of coupled inertial memristive neural networks with supremums R Rakkiyappan, EU Kumari, A Chandrasekar, R Krishnasamy Neurocomputing 214, 739-749, 2016 | 68 | 2016 |
| Stability of stochastic neural networks of neutral type with Markovian jumping parameters: a delay-fractioning approach R Rakkiyappan, Q Zhu, A Chandrasekar Journal of the Franklin Institute 351 (3), 1553-1570, 2014 | 62 | 2014 |
| 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 | 60 | 2014 |
| 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 | 59 | 2014 |
| Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach A Chandrasekar, R Rakkiyappan, J Cao Neural Networks 70, 27-38, 2015 | 54 | 2015 |
| Exponential stability for markovian jumping stochastic BAM neural networks with mode‐dependent probabilistic time‐varying delays and impulse control R Rakkiyappan, A Chandrasekar, S Lakshmanan, JH Park Complexity 20 (3), 39-65, 2015 | 46 | 2015 |
| Exponential stability of Markovian jumping stochastic Cohen–Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses R Rakkiyappan, A Chandrasekar, S Lakshmanan, JH Park Neurocomputing 131, 265-277, 2014 | 45 | 2014 |
| Effects of leakage time-varying delays in Markovian jump neural networks with impulse control R Rakkiyappan, A Chandrasekar, S Lakshmanan, JH Park, HY Jung Neurocomputing 121, 365-378, 2013 | 41 | 2013 |
| Further results on input-to-state stability of stochastic Cohen–Grossberg BAM neural networks with probabilistic time-varying delays A Chandrasekar, T Radhika, Q Zhu Neural Processing Letters, 1-23, 2022 | 32 | 2022 |
| Analysis of Markovian jump stochastic Cohen–Grossberg BAM neural networks with time delays for exponential input-to-state stability T Radhika, A Chandrasekar, V Vijayakumar, Q Zhu Neural Processing Letters 55 (8), 11055-11072, 2023 | 30 | 2023 |
| Exponential state estimation of Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays R Rakkiyappan, A Chandrasekar, FA Rihan, S Lakshmanan Mathematical biosciences 251, 30-53, 2014 | 30 | 2014 |
| Stochastic sampled data robust stabilisation of TS fuzzy neutral systems with randomly occurring uncertainties and time-varying delays R Rakkiyappan, A Chandrasekar, S Lakshmanan International Journal of Systems Science 47 (10), 2247-2263, 2016 | 26 | 2016 |
| State estimation for genetic regulatory networks with two delay components by using second-order reciprocally convex approach A Chandrasekar, T Radhika, Q Zhu Neural Processing Letters, 1-19, 2022 | 22 | 2022 |
