Radial basis function neural network based higher order sliding mode control

Instrumentation and Control Department, Gujarat Technological University and Department of Agricultural Science, College of AIT Anand Agricultural University, Anand, India

Dipesh Shah

dipeshshah.ic@gmail.com

Alstom India, Bengaluru, India

Axaykumar Mehta

draxaymehta@gmail.com

Electrical and Computer Science Engineering Department IITRAM, Gujarat, India

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DOI: https://doi.org/10.2478/candc-2025-0013 | Journal eISSN: 2720-4278 | Journal ISSN: 0324-8569

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Language: English

Page range: 363 - 388

Submitted on: Apr 1, 2025

Accepted on: Dec 1, 2025

Published on: Mar 9, 2026

Published by: Systems Research Institute Polish Academy of Sciences

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

higher-order sliding mode control,

Lyapunov stability,

radial basis function,

super-twisting algorithm

Related subjects:

Computer sciences,

Computer sciences, other,

Engineering,

Electrical engineering,

Fundamentals of electrical engineering,

Mechanical engineering,

Fundamentals of mechanical engineering,

Mathematics,

General mathematics

© 2026 Vishal Mehra, Dipesh Shah, Axaykumar Mehta, published by Systems Research Institute Polish Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 54 (2025): Issue 4 (December 2025)