Adaptive Fuzzy Output Feedback Control for Switched Nonstrict-Feedback Nonlinear Systems With Input Nonlinearities

This paper studies adaptive fuzzy output feedback tracking control problem for nonstrict-feedback switched nonlinear systems. The switched systems under consideration contain unknown nonlinearities, unmeasured states, and unknown deadzones. Fuzzy logic systems are utilized to approximate the unknown...

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Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 24; no. 6; pp. 1426 - 1440
Main Authors Tong, Shaocheng, Li, Yongming, Sui, Shuai
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Adaptive systems
Control design
Control stability
Design parameters
Dwell time
Feedback control
Fuzzy adaptive control
Fuzzy control
Fuzzy logic
fuzzy logic systems (FLS)
Fuzzy systems
Liapunov functions
Nonlinear systems
Nonlinearity
Output feedback
State observers
switched nonstrict-feedback systems
Switched systems
Switches
Tracking control
Tracking errors
unknown dead zones
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Summary:This paper studies adaptive fuzzy output feedback tracking control problem for nonstrict-feedback switched nonlinear systems. The switched systems under consideration contain unknown nonlinearities, unmeasured states, and unknown deadzones. Fuzzy logic systems are utilized to approximate the unknown nonlinearities, and a switched fuzzy state observer is designed, and thus, the immeasurable states are estimated via it. In the framework of observer-based output feedback control, and by using the certainty equivalence deadzone inverse, a novel adaptive fuzzy output feedback control design method with the parameters adaptation laws is developed. The stability of the closed-loop system and the convergence of the tracking error are proved based on Lyapunov function and the average dwell-time methods. Two simulation examples are provided to check the effectiveness of the proposed approach.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2016.2516587