Journal article
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, Vol.99, Art. 107782
2022
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...
Details
- Title
- Guest editorial : Introduction to the special section on recent advances and challenges in intelligent sliding mode control for modern industrial systems: soft computing solutions
- Authors/Creators
- H. Wang (Author/Creator)S. Ding (Author/Creator)K. Nam (Author/Creator)
- Publication Details
- Computers & Electrical Engineering, Vol.99, Art. 107782
- Publisher
- Elsevier
- Identifiers
- 991005541404307891
- Copyright
- © 2022 Published by Elsevier Ltd.
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.29 Automation & Control Systems
- 4.29.104 Adaptive Control
- Web Of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Interdisciplinary Applications
- Engineering, Electrical & Electronic
- ESI research areas
- Computer Science