Rajesh Kumar
Orcid: 0000-0001-7172-1081Affiliations:
- Netaji Subhas Institute of Technology, Department of Instrumentation and Control Engineering, New Delhi, India
According to our database1,
Rajesh Kumar
authored at least 21 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
Nonlinear dynamic engineering processes modeling using a lyapunov-stability based novel locally connected recurrent pi-sigma neural network: design, simulation, and a comparative study.
Evol. Syst., December, 2024
Nonlinear dynamical system approximation and adaptive control based on hybrid-feed-forward recurrent neural network: Simulation and stability analysis.
Expert Syst. J. Knowl. Eng., September, 2024
Design and application of a novel higher-order type-n fuzzy-logic-based system for controlling the steering angle of a vehicle: a soft computing approach.
Soft Comput., March, 2024
A PSO-optimized novel PID neural network model for temperature control of jacketed CSTR: design, simulation, and a comparative study.
Soft Comput., March, 2024
Soft Comput., February, 2024
Design of a novel robust recurrent neural network for the identification of complex nonlinear dynamical systems.
Soft Comput., February, 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.
Soft Comput., January, 2024
Recurrent context layered radial basis function neural network for the identification of nonlinear dynamical systems.
Neurocomputing, 2024
2023
Double internal loop higher-order recurrent neural network-based adaptive control of the nonlinear dynamical system.
Soft Comput., November, 2023
A novel Lyapunov-stability-based recurrent-fuzzy system for the Identification and adaptive control of nonlinear systems.
Appl. Soft Comput., April, 2023
Memory Recurrent Elman Neural Network-Based Identification of Time-Delayed Nonlinear Dynamical System.
IEEE Trans. Syst. Man Cybern. Syst., 2023
2022
A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems.
Appl. Soft Comput., 2022
2021
A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis.
Neural Comput. Appl., 2021
2020
Lyapunov stability-Dynamic Back Propagation-based comparative study of different types of functional link neural networks for the identification of nonlinear systems.
Soft Comput., 2020
2019
Soft Comput., 2019
2018
Online modeling and adaptive control of robotic manipulators using Gaussian radial basis function networks.
Neural Comput. Appl., 2018
Diagonal recurrent neural network based identification of nonlinear dynamical systems with Lyapunov stability based adaptive learning rates.
Neurocomputing, 2018
2017
Lyapunov stability-based control and identification of nonlinear dynamical systems using adaptive dynamic programming.
Soft Comput., 2017
Modeling and adaptive control of nonlinear dynamical systems using radial basis function network.
Soft Comput., 2017
2016
Modeling and control of one-link robotic manipulator using neural network based PID controller.
Proceedings of the 2016 International Conference on Advances in Computing, 2016
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016