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Adaptive fuzzy output feedback decentralized control of pure‐feedback nonlinear large‐scale systems
Author(s) -
Tong Shaocheng,
Li Yongming,
Liu Yanjun
Publication year - 2012
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.2927
Subject(s) - backstepping , control theory (sociology) , fuzzy logic , nonlinear system , observer (physics) , computer science , uniform boundedness , fuzzy control system , bounded function , decentralised system , adaptive control , control engineering , mathematics , control (management) , engineering , artificial intelligence , mathematical analysis , physics , quantum mechanics
SUMMARY In this paper, an adaptive fuzzy decentralized output feedback control approach is presented for a class of uncertain nonlinear pure‐feedback large‐scale systems with immeasurable states. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, and a fuzzy state observer is designed to estimate the immeasurable states. On the basis of the adaptive backstepping recursive design technique, an adaptive fuzzy decentralized output feedback is developed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed‐loop system are semiglobally uniformly ultimately bounded (SUUB), and that the observer and tracking errors converge to a small neighborhood of the origin by appropriate choice of the design parameters. Simulation studies are included to illustrate the effectiveness of the proposed approach. Copyright © 2012 John Wiley & Sons, Ltd.