Diagonal recurrent neural network based adaptive control of nonlinear dynamical systems using lyapunov stability criterion R Kumar, S Srivastava, JRP Gupta ISA transactions 67, 407-427, 2017 | 82 | 2017 |
Comparative study of neural networks for dynamic nonlinear systems identification R Kumar, S Srivastava, JRP Gupta, A Mohindru Soft Computing 23, 101-114, 2019 | 64 | 2019 |
Diagonal recurrent neural network based identification of nonlinear dynamical systems with Lyapunov stability based adaptive learning rates R Kumar, S Srivastava, JRP Gupta, A Mohindru Neurocomputing 287, 102-117, 2018 | 61 | 2018 |
Modeling and adaptive control of nonlinear dynamical systems using radial basis function network R Kumar, S Srivastava, JRP Gupta Soft computing 21, 4447-4463, 2017 | 53 | 2017 |
Memory recurrent Elman neural network-based identification of time-delayed nonlinear dynamical system R Kumar IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (2), 753-762, 2022 | 52 | 2022 |
A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems R Kumar Applied Soft Computing - Elsevier 122, 108836, 2022 | 41 | 2022 |
Artificial neural network based PID controller for online control of dynamical systems R Kumar, S Srivastava, JRP Gupta 2016 IEEE 1st International Conference on Power Electronics, Intelligent …, 2016 | 41 | 2016 |
Externally recurrent neural network based identification of dynamic systems using Lyapunov stability analysis R Kumar, S Srivastava ISA transactions 98, 292-308, 2020 | 35 | 2020 |
Double internal loop higher-order recurrent neural network-based adaptive control of the nonlinear dynamical system R Kumar Soft Computing 27 (22), 17313-17331, 2023 | 32 | 2023 |
Self‐recurrent wavelet neural network–based identification and adaptive predictive control of nonlinear dynamical systems R Kumar, S Srivastava, JRP Gupta, A Mohindru International Journal of Adaptive Control and Signal Processing 32 (9), 1326 …, 2018 | 31 | 2018 |
Temporally local recurrent radial basis function network for modeling and adaptive control of nonlinear systems R Kumar, S Srivastava, JRP Gupta, A Mohindru ISA transactions 87, 88-115, 2019 | 28 | 2019 |
Online modeling and adaptive control of robotic manipulators using Gaussian radial basis function networks R Kumar, S Srivastava, JRP Gupta Neural computing and applications 30, 223-239, 2018 | 26 | 2018 |
Lyapunov stability-based control and identification of nonlinear dynamical systems using adaptive dynamic programming R Kumar, S Srivastava, JRP Gupta Soft Computing 21, 4465-4480, 2017 | 25 | 2017 |
A PSO optimized novel PID Neural Network model for Temperature Control of Jacketed CSTR: Design, Simulation, and a Comparative Study S Chaturvedi, N Kumar, R Kumar Soft Computing, 1-15, 2023 | 23 | 2023 |
A novel approach to predict stock market price using radial basis function network R Kumar, S Srivastava, A Dass, S Srivastava International Journal of Information Technology 13 (6), 2277-2285, 2021 | 20 | 2021 |
A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis R Kumar, S Srivastava Neural Computing and Applications 33 (13), 7875-7892, 2021 | 19 | 2021 |
Comparative study of neural networks for control of nonlinear dynamical systems with lyapunov stability-based adaptive learning rates R Kumar, S Srivastava, JRP Gupta Arabian Journal for Science and Engineering 43, 2971-2993, 2018 | 18 | 2018 |
A novel Lyapunov-stability-based recurrent-fuzzy system for the Identification and adaptive control of nonlinear systems A Dass, S Srivastava, R Kumar Applied Soft Computing - Elsevier 137, 110161, 2023 | 15 | 2023 |
Recurrent context layered radial basis function neural network for the identification of nonlinear dynamical systems R Kumar Neurocomputing 580, 127524, 2024 | 14 | 2024 |
A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study T Gupta, R Kumar Soft Computing 28 (1), 399-414, 2024 | 14 | 2024 |