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ORCIDRajesh 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
![[0000-0002-6019-0702]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-6019-0702")
— 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 — Directorate of Forensic Science, Ministry of Home Affairs, Govt. of India, New Delhi
- Rajesh Kumar 0009 — Int. Institute of Information Technology, CSTAR, Hyderabad, India
- Rajesh Kumar 0011 — Sant Longowal Institute of Engineering and Technology, Longowal, India (and 1 more)
- Rajesh Kumar 0012 — Birla Institute of Technology and Science, Pilani, India (and 1 more)
- Rajesh Kumar 0013 — Thapar University, Computer Science and Engineering Department, Patiala, India
- Rajesh Kumar 0014 — University of Electronic Science and Technology of China, Computer Science Department, Chengdu, China
- Rajesh Kumar 0015 — North Eastern Regional Institute of Science and Technology, NERIST, Department of Electronics and Communication, Nirjuli, India
- Rajesh Kumar 0016 — Bucknell University, Department of Computer Science, Lewisburg, PA, USA (and 1 more)
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Journal Articles
- 2026
[j27]Rajesh Kumar:
DEJRNN: A novel fusion recurrent neural network-based complex dynamical system modeling and the convergence analysis. Appl. Soft Comput. 186: 114243 (2026)- [j26]Rajesh Kumar:
A novel recurrent neural network with robust learning algorithm: Application to modeling of nonlinear complex systems. Neurocomputing 666: 132214 (2026) - [j25]Rajesh Kumar:
Lyapunov-guided echo-state network for robust nonlinear dynamical system modeling. Neurocomputing 702: 134654 (2026) - [j24]R. Shobana, Rajesh Kumar, Bhavnesh Jaint:
A recurrent neural network-based identification of complex nonlinear dynamical systems: a novel structure, stability analysis and a comparative study. Soft Comput. 30(2): 1245-1261 (2026) - 2025
- [j23]Rajesh Kumar:
New Recurrent Weighted Lyapunov-Stability Based Brain Emotional Learning-Based Neural Network: Application to the Modeling of the Nonlinear Dynamical System. Circuits Syst. Signal Process. 44(9): 6467-6493 (2025) - [j22]Richa Sahu, Rajesh Kumar, Smriti Srivastava:
Nonlinear Complex Dynamical Systems Modeling and Adaptive Control Based on a Novel Diagonally Expanded Functional Link Neural Network (DEFLNN). Circuits Syst. Signal Process. 44(9): 6523-6549 (2025) - [j21]Rajesh Kumar:
A stable framework-based modeling of the complex dynamical system using a double context layered with self-weighted output feedback loop Elman recurrent neural network. Inf. Sci. 712: 122132 (2025) - [j20]Kartik Saini, Narendra Kumar, Bharat Bhushan, Rajesh Kumar:
Nonlinear complex dynamic system identification based on a novel recurrent neural network. Soft Comput. 29(2): 957-976 (2025) - 2024
- [j19]R. Shobana, Rajesh Kumar, Bhavnesh Jaint:
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, Rajesh Kumar:
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, Rajesh Kumar:
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, Narendra Kumar, Rajesh Kumar:
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, Rajesh Kumar:
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, Smriti Srivastava:
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, Smriti Srivastava, Amit Mohindru:
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) - 2019
- [j5]Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, Amit Mohindru:
Comparative study of neural networks for dynamic nonlinear systems identification. Soft Comput. 23(1): 101-114 (2019) - 2018
- [j4]Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta, Amit Mohindru:
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, Smriti Srivastava, J. R. P. Gupta:
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, Smriti Srivastava, J. R. P. Gupta:
Modeling and adaptive control of nonlinear dynamical systems using radial basis function network. Soft Comput. 21(15): 4447-4463 (2017) - [j1]Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta:
Lyapunov stability-based control and identification of nonlinear dynamical systems using adaptive dynamic programming. Soft Comput. 21(15): 4465-4480 (2017)
Conference and Workshop Papers
- 2016
- [c2]Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta:
A Soft Computing Approach for Modeling of Nonlinear Dynamical Systems. FICTA (1) 2016: 407-415 - [c1]Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta:
Modeling and control of one-link robotic manipulator using neural network based PID controller. ICACCI 2016: 243-249
Coauthor Index
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