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Output feedback fuzzy control of nonlinear dynamic systems: Event‐triggered case
Author(s) -
Su Xiaojie,
Chen Qianqian,
Jiao Chunting,
Dai Xin
Publication year - 2021
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5651
Subject(s) - control theory (sociology) , controller (irrigation) , nonlinear system , fuzzy logic , stability (learning theory) , computer science , fuzzy control system , variable (mathematics) , interval (graph theory) , convex optimization , mathematics , control (management) , regular polygon , mathematical analysis , physics , geometry , quantum mechanics , combinatorics , artificial intelligence , machine learning , agronomy , biology
The event‐triggered output feedback controller design problem is investigated in this article for a class of discrete‐time Takagi–Sugeno fuzzy systems. We focus on constructing a closed‐loop system by considering the event generator communication mechanism, interval time‐varying delays, and packet dropouts. Under this newly established system, a less conservative stability condition is obtained using the Wirtinger‐based inequality and reciprocally convex approach, which guarantees that the corresponding augmented system is asymptotically stable in the mean‐squared sense with a prespecifiedl 2–l ∞performance. The solution of the designed output feedback controller parameters can then be obtained by variable substitution method and by conversion of the controller parameters. Finally, two examples are presented to demonstrate the effectiveness of the proposed controller design technique.