Application of Mathematical Method in Robust and Nonlinear Control
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: closed (31 January 2025) | Viewed by 2694
Special Issue Editor
Interests: intelligent information processing and intelligent control; advanced control theory and application
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, the significance of dealing with uncertainties in the field of control design has been realized from both academic and industrial perspectives. In general, uncertainties derive from the modeling of nonlinear systems, namely plant uncertainties, and the operation of nonlinear systems, namely external disturbances. As a challenging task, a number of robust and nonlinear control approaches using mathematical methods have been presented to further improve control performance against uncertainties, such as sliding mode control, fuzzy control, adaptive control, and H infinite control.
This Special Issue, titled “Application of Mathematical Method in Robust and Nonlinear Control”, presents the latest research and developments in mathematic-based robust and nonlinear control techniques for various engineering, science, and management applications. This Special Issue aims to serve as a forum for exchanging ideas and knowledge among researchers and practitioners worldwide, inspiring new research directions and applications in this field. Both original research and review papers are welcome to be submitted to this Special Issue. Topics of interest include, but are not limited to, the following:
- Nonlinear control;
- Robust control;
- Adaptive control;
- Fuzzy neural networks;
- Sliding mode control;
- Backstepping control;
- Reinforcement learning;
- Deep learning;
- Artificial intelligence.
Dr. Shixi Hou
Guest Editor
Manuscript Submission Information
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Keywords
- nonlinear control
- robust control
- adaptive control
- fuzzy neural networks
- sliding mode control
- backstepping control
- reinforcement learning
- deep learning
- artificial intelligence
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