Dynamic-Gain-Based Adaptive Fuzzy Control for Uncertain Delayed Non-triangular Switched Nonlinear Systems

This work studies the adaptive issue of nonlinear switched system with state delays. Different from the reported works, the research is more challenging since the system is in non-triangular form and has multiple uncertainties such as unmodeled dynamic, unknown parameters, and unknown coefficients....

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Bibliographic Details
Published inInternational journal of fuzzy systems Vol. 24; no. 8; pp. 3745 - 3755
Main Authors Liu, Zhen-Guo, Zhao, Ya-Zhu, Sun, Wei, Xue, Lingrong
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2022
Springer Nature B.V
Subjects
Adaptive control
Artificial Intelligence
Computational Intelligence
Control systems design
Controllers
Design
Engineering
Fuzzy control
Management Science
Nonlinear systems
Operations Research
Robust control
Systems stability
Delayed systems
Uncertainty
L–K functional
Adaptive regulation
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Summary:This work studies the adaptive issue of nonlinear switched system with state delays. Different from the reported works, the research is more challenging since the system is in non-triangular form and has multiple uncertainties such as unmodeled dynamic, unknown parameters, and unknown coefficients. By presenting a dynamic-gain-based adaptive fuzzy regulation strategy, and constructing a novel Lyapunov–Krasovskii (L–K) functional, a new robust adaptive controller is successfully designed. The raised strategy is validated using a simulation example.
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-022-01360-6