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Rajesh Kumar 0010
Person information
- affiliation: Netaji Subhas Institute of Technology, Department of Instrumentation and Control Engineering, New Delhi, India
Other persons with the same name
- Rajesh Kumar — disambiguation page
- Rajesh Kumar 0001 — Johns Hopkins University, Baltimore, MD, USA
- Rajesh Kumar 0002
— Malaviya National Institute of Technology, Jaipur, India
- Rajesh Kumar 0003 — University of California, Santa Barbara
- Rajesh Kumar 0004 — Aker Kværner Offshore Partner
- Rajesh Kumar 0005 — United Technologies Research Center
- Rajesh Kumar 0006 — Intel Corporation, Hillsboro
- Rajesh Kumar 0007 — Dept. of Mathematics, PGDAV Evening College, University of Delhi
- Rajesh Kumar 0008
- Rajesh Kumar 0009 — Int. Institute of Information Technology, CSTAR, Hyderabad, India
- Rajesh Kumar 0011
- Rajesh Kumar 0012
- Rajesh Kumar 0013
- Rajesh Kumar 0014
- Rajesh Kumar 0015
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2020 – today
- 2024
- [j19]R. Shobana, Rajesh Kumar
Nonlinear dynamical system approximation and adaptive control based on hybrid-feed-forward recurrent neural network: Simulation and stability analysis. Expert Syst. J. Knowl. Eng. 41(9) (2024) - [j18]Rajesh Kumar, Smriti Srivastava, Amit Mohindru:
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. 15(6): 2067-2092 (2024) - [j17]Rajesh Kumar
Recurrent context layered radial basis function neural network for the identification of nonlinear dynamical systems. Neurocomputing 580: 127524 (2024) - [j16]Tanvi Gupta
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. 28(1): 399-414 (2024) - [j15]R. Shobana, Bhavnesh Jaint, Rajesh Kumar
Design of a novel robust recurrent neural network for the identification of complex nonlinear dynamical systems. Soft Comput. 28(3): 2737-2751 (2024) - [j14]Puru Verma, Neil Malhotra, Ram Suri, Rajesh Kumar
Automated smart artificial intelligence-based proctoring system using deep learning. Soft Comput. 28(4): 3479-3489 (2024) - [j13]Smriti Srivastava
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. 28(6): 4743-4758 (2024) - [j12]Snigdha Chaturvedi
A PSO-optimized novel PID neural network model for temperature control of jacketed CSTR: design, simulation, and a comparative study. Soft Comput. 28(6): 4759-4773 (2024) - 2023
- [j11]Anuli Dass, Smriti Srivastava
A novel Lyapunov-stability-based recurrent-fuzzy system for the Identification and adaptive control of nonlinear systems. Appl. Soft Comput. 137: 110161 (2023) - [j10]Rajesh Kumar
Double internal loop higher-order recurrent neural network-based adaptive control of the nonlinear dynamical system. Soft Comput. 27(22): 17313-17331 (2023) - [j9]Rajesh Kumar
Memory Recurrent Elman Neural Network-Based Identification of Time-Delayed Nonlinear Dynamical System. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 753-762 (2023) - 2022
- [j8]Rajesh Kumar
A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems. Appl. Soft Comput. 122: 108836 (2022) - 2021
- [j7]Rajesh Kumar
A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis. Neural Comput. Appl. 33(13): 7875-7892 (2021) - 2020
- [j6]Rajesh Kumar
Lyapunov stability-Dynamic Back Propagation-based comparative study of different types of functional link neural networks for the identification of nonlinear systems. Soft Comput. 24(7): 5463-5482 (2020)
2010 – 2019
- 2019
- [j5]Rajesh Kumar
Comparative study of neural networks for dynamic nonlinear systems identification. Soft Comput. 23(1): 101-114 (2019) - 2018
- [j4]Rajesh Kumar
Diagonal recurrent neural network based identification of nonlinear dynamical systems with Lyapunov stability based adaptive learning rates. Neurocomputing 287: 102-117 (2018) - [j3]Rajesh Kumar
Online modeling and adaptive control of robotic manipulators using Gaussian radial basis function networks. Neural Comput. Appl. 30(1): 223-239 (2018) - 2017
- [j2]Rajesh Kumar
Modeling and adaptive control of nonlinear dynamical systems using radial basis function network. Soft Comput. 21(15): 4447-4463 (2017) - [j1]Rajesh Kumar
Lyapunov stability-based control and identification of nonlinear dynamical systems using adaptive dynamic programming. Soft Comput. 21(15): 4465-4480 (2017) - 2016
- [c2]Rajesh Kumar
A Soft Computing Approach for Modeling of Nonlinear Dynamical Systems. FICTA (1) 2016: 407-415 - [c1]Rajesh Kumar
Modeling and control of one-link robotic manipulator using neural network based PID controller. ICACCI 2016: 243-249
Coauthor Index
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last updated on 2024-11-26 21:45 CET by the dblp team
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