| Robust event-triggered reliable control for TS fuzzy uncertain systems via weighted based inequality G Nagamani, YH Joo, G Soundararajan, R Mohajerpoor Information Sciences 512, 31-49, 2020 | 46 | 2020 |
| Robust state estimation for fractional-order delayed BAM neural networks via LMI approach G Nagamani, M Shafiya, G Soundararajan, M Prakash Journal of the Franklin Institute 357 (8), 4964-4982, 2020 | 34 | 2020 |
| Exponential state estimation for memristor-based discrete-time BAM neural networks with additive delay components G Nagamani, GS Rajan, Q Zhu IEEE transactions on cybernetics 50 (10), 4281-4292, 2019 | 32 | 2019 |
| Robust extended dissipativity analysis for Markovian jump discrete-time delayed stochastic singular neural networks G Nagamani, G Soundararajan, R Subramaniam, M Azeem Neural Computing and Applications 32 (13), 9699-9712, 2020 | 15 | 2020 |
| An LMI based state estimation for fractional-order memristive neural networks with leakage and time delays G Nagamani, M Shafiya, G Soundararajan Neural Processing Letters 52, 2089-2108, 2020 | 14 | 2020 |
| Non-fragile extended dissipative state estimation for delayed discrete-time neural networks: application to quadruple tank process model G Nagamani, B Adhira, G Soundararajan Nonlinear Dynamics 104, 451-466, 2021 | 11 | 2021 |
| State-Feedback Filtering for Delayed Discrete-Time Complex-Valued Neural Networks S Ganesan, N Gnaneswaran IEEE transactions on neural networks and learning systems 31 (11), 4726-4736, 2020 | 10 | 2020 |
| Observer-based exponential stabilization for time-delay systems via augmented weighted integral inequality G Nagamani, C Karthik, G Soundararajan Journal of the Franklin Institute 356 (16), 9023-9042, 2019 | 8 | 2019 |
| Delay-dependent and independent state estimation for BAM cellular neural networks with multi-proportional delays G Nagamani, A Karnan, G Soundararajan Circuits, Systems, and Signal Processing 40, 3179-3203, 2021 | 5 | 2021 |
| Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties G Soundararajan, G Nagamani Neural Networks 159, 70-83, 2023 | 3 | 2023 |
| Finite-time/fixed-time synchronization of memristive shunting inhibitory cellular neural networks via sliding mode control M Otkel, S Ganesan, R Rajan, A Kashkynbayev Mathematics and Computers in Simulation 222, 252-263, 2024 | 2 | 2024 |
| Exponential H∞ synchronization and anti-synchronization of delayed discrete-time complex-valued neural networks with uncertainties KSR Priyanka, G Soundararajan, A Kashkynbayev, G Nagamani Mathematics and Computers in Simulation 207, 301-321, 2023 | 2 | 2023 |
| Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design B Adhira, G Nagamani, G Soundararajan Journal of the Franklin Institute 359 (11), 5750-5777, 2022 | 2 | 2022 |
| Finite-time ontractive stability for Fractional-Order Nonlinear Systems with delayed impulses: Applications to neural networks P Gokul, G Soundararajan, A Kashkynbayev, R Rakkiyappan Neurocomputing, 128599, 2024 | | 2024 |
| Design of an event-triggered extended dissipative state estimator for neural networks with multiple time-varying delays A Karnan, G Soundararajan, G Nagamani, A Kashkynbayev The European Physical Journal Special Topics, 1-15, 2024 | | 2024 |
| Co-existence of robust output-feedback synchronization and anti-synchronization of delayed discrete-time neural networks with its application KSR Priyanka, G Soundararajan, A Kashkynbayev, G Nagamani Computational and Applied Mathematics 43 (2), 77, 2024 | | 2024 |
| Exponential H∞ filtering for complex-valued uncertain discrete-time neural networks with time-varying delays G Soundararajan, G Nagamani, A Kashkynbayev Communications in Nonlinear Science and Numerical Simulation 128, 107595, 2024 | | 2024 |
Nagamani GnaneswaranThe Gandhigram Rural Institute (Deemed to be University)Verified email at ruraluniv.ac.in
