Підписатись
Dr. Rajesh Kumar, SMIEEE, Fellow IETE, LMISTE, MIE, IAENG member
Dr. Rajesh Kumar, SMIEEE, Fellow IETE, LMISTE, MIE, IAENG member
Assistant Professor (Grade-I) at National Institute of Technology, Kurukshetra
Підтверджена електронна адреса в nitkkr.ac.in - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
822017
Comparative study of neural networks for dynamic nonlinear systems identification
R Kumar, S Srivastava, JRP Gupta, A Mohindru
Soft Computing 23, 101-114, 2019
642019
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
612018
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
532017
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
522022
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
412022
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
412016
Externally recurrent neural network based identification of dynamic systems using Lyapunov stability analysis
R Kumar, S Srivastava
ISA transactions 98, 292-308, 2020
352020
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
322023
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
312018
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
282019
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
262018
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
252017
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
232023
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
202021
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
192021
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
182018
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
152023
Recurrent context layered radial basis function neural network for the identification of nonlinear dynamical systems
R Kumar
Neurocomputing 580, 127524, 2024
142024
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
142024
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