| 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 | 31 | 2020 |
| New finite-time passivity criteria for delayed fractional-order neural networks based on Lyapunov function approach M Shafiya, G Nagamani Chaos, Solitons & Fractals 158, 112005, 2022 | 22 | 2022 |
| Global synchronization of uncertain fractional-order BAM neural networks with time delay via improved fractional-order integral inequality M Shafiya, G Nagamani, D Dafik Mathematics and Computers in Simulation 191, 168-186, 2022 | 18 | 2022 |
| 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 | 13 | 2020 |
| Extended dissipativity criterion for fractional-order neural networks with time-varying parameter and interval uncertainties M Shafiya, G Nagamani Computational and Applied Mathematics 41 (3), 95, 2022 | 4 | 2022 |
| A Smart Manufacturing on Multi-echelon Sustainable Supply Chain Under Uncertain Demand B Karthick, M Shafiya Process Integration and Optimization for Sustainability 8 (1), 143-163, 2024 | | 2024 |
| New LMI constraint-based settling-time estimation for finite-time stability of fractional-order neural networks S Muthu, N Gnaneswaran Journal of Nonlinear, Complex and Data Science, 2024 | | 2024 |
| Synchronization of Delayed Fractional-Order Memristive BAM Neural Networks M Shafiya, G Nagamani International Conference on mathematical Modelling and Computational …, 2021 | | 2021 |
Nagamani GnaneswaranThe Gandhigram Rural Institute (Deemed to be University)Verified email at ruraluniv.ac.in
