Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Guest editorial : Introduction to the special section on recent advances and challenges in intelligent sliding mode control for modern industrial systems: soft computing solutions

Wang, H.ORCID: 0000-0003-2789-9530, Ding, S. and Nam, K. (2022) Guest editorial : Introduction to the special section on recent advances and challenges in intelligent sliding mode control for modern industrial systems: soft computing solutions. Computers & Electrical Engineering, 99 . Art. 107782.

Link to Published Version: https://doi.org/10.1016/j.compeleceng.2022.107782
*Subscription may be required

Abstract

In the rising trend of Industry 4.0, manufacturing industries have been experiencing significant changes with the increased untilization of machine learning, big data, artificial intelligence, and intelligent automation. Modern industrial equipments and systems have been intensively used in wide applications to achieve a higher level of automation, i.e., smart grid, renewable energy systems, robots, transportation and automotive...

Item Type: Journal Article
Murdoch Affiliation(s): Engineering and Energy
Publisher: Elsevier
Copyright: © 2022 Published by Elsevier Ltd.
URI: http://researchrepository.murdoch.edu.au/id/eprint/63968
Item Control Page Item Control Page