| An LMI approach for global robust dissipativity analysis of T–S fuzzy neural networks with interval time-varying delays S Muralisankar, N Gopalakrishnan, P Balasubramaniam Expert systems with applications 39 (3), 3345-3355, 2012 | 44 | 2012 |
| Robust stability criteria for Takagi–Sugeno fuzzy Cohen–Grossberg neural networks of neutral type S Muralisankar, N Gopalakrishnan Neurocomputing 144, 516-525, 2014 | 31 | 2014 |
| Robust exponential stability criteria for T–S fuzzy stochastic delayed neural networks of neutral type S Muralisankar, N Gopalakrishnan, P Balasubramaniam Circuits, Systems, and Signal Processing 30, 1617-1641, 2011 | 15 | 2011 |
| Asymptotic stability criteria for TS fuzzy neural networks with discrete interval and distributed time-varying delays S Muralisankar, A Manivannan, N Gopalakrishnan Neural Computing and Applications 21, 357-367, 2012 | 6 | 2012 |
| Robust stability analysis for fuzzy stochastic Hopfield neural networks with time–varying delays N Gopalakrishnan Communications Faculty of Sciences University of Ankara Series A1 …, 0 | | |
| Stability Criteria for BAM Neural Networks With Time–Varying Delays and Leakage Delays N Gopalakrishnan, S Muralisankar | | |
