Rajesh Kumar

Orcid: 0000-0001-7172-1081

Affiliations:
  • Netaji Subhas Institute of Technology, Department of Instrumentation and Control Engineering, New Delhi, India


According to our database1, Rajesh Kumar authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

Automated smart artificial intelligence-based proctoring system using deep learning.
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

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
Comparative study of neural networks for dynamic nonlinear systems identification.
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

A Soft Computing Approach for Modeling of Nonlinear Dynamical Systems.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016


  Loading...