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Indirect adaptive fuzzy control for input and output constrained nonlinear systems using a barrier Lyapunov function
Author(s) -
Li Yongming,
Li Tieshan,
Jing Xingjian
Publication year - 2014
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2410
Subject(s) - control theory (sociology) , backstepping , nonlinear system , fuzzy logic , lyapunov function , bounded function , controller (irrigation) , fuzzy control system , adaptive control , computer science , function (biology) , adaptive system , mathematics , control (management) , artificial intelligence , mathematical analysis , agronomy , physics , quantum mechanics , evolutionary biology , biology
SUMMARY In this paper, a novel indirect adaptive fuzzy controller is proposed for a class of uncertain nonlinear systems with input and output constrains. To address output and input constraints, a barrier Lyapunov function and an auxiliary design system are employed, respectively. The proposed approach is explored by employing fuzzy logic systems to tackle unknown nonlinear functions and combining the adaptive backstepping technique with adaptive fuzzy control design. Especially, the number of the online learning parameters are reduced to 2n in the closed‐loop system. It is proved that the proposed control approach can guarantee that all the signals in the closed‐loop system are bounded, and the input and output constraints are circumvented simultaneously. A numerical example with comparisons is provided to illustrate the effectiveness of the proposed approach. Copyright © 2013 John Wiley & Sons, Ltd.