Fuzzy event-triggered disturbance rejection control of nonlinear systems
Author(s) -
Cheng Peng,
Yanqing Liu,
Yanyan Yin,
Song Wang,
Feng Pan
Publication year - 2020
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2020119
Subject(s) - control theory (sociology) , fuzzy logic , correctness , disturbance (geology) , nonlinear system , controller (irrigation) , fuzzy control system , computer science , mathematics , event (particle physics) , control (management) , algorithm , artificial intelligence , physics , paleontology , quantum mechanics , agronomy , biology
The problem of fuzzy based event-triggered disturbance rejection control for nonlinear systems is addressed in this paper. A new fuzzy event based anti rejection controller is designed and a fuzzy reduced disturbance observer is constructed. Sufficient conditions for the closed loop system to be asymptotically stable under an \begin{document}$ H_\infty $\end{document} performance index are derived. Based on these conditions, the design of a fuzzy event-triggered state feedback controller is formulated and solved. Numerical results are presented to demonstrate the correctness and effectiveness of our theoretical findings.
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