Event-Triggered Fuzzy Adaptive Control for a Class of Uncertain Nonlinear Systems With Input Dead-Zone

This paper proposes an event-triggered fuzzy adaptive control for a class of uncertain nonlinear systems with input dead-zone. Considering that the approximation error is a time-varying function, improved Fuzzy Logic Systems(FLSs) are applied to address the uncertain parts of the considered systems....

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Bibliographic Details
Published inIEEE access Vol. 8; pp. 25738 - 25748
Main Authors Chen, Zicong, Wang, Lin, Wang, Jianhui, Wang, Qinruo
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Approximation error
auxiliary system
Backstepping
Control design
Event-triggered control
Fuzzy control
Fuzzy logic
fuzzy logic systems (FLSs)
Fuzzy systems
input dead-zone
Nonlinear systems
Signal transmission
Time-varying systems
two-bits signal transmission
Uncertain systems
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Summary:This paper proposes an event-triggered fuzzy adaptive control for a class of uncertain nonlinear systems with input dead-zone. Considering that the approximation error is a time-varying function, improved Fuzzy Logic Systems(FLSs) are applied to address the uncertain parts of the considered systems. And a designed auxiliary system is introduced into the control design to compensate the effects of input dead-zone, which often occurs to actual systems. Moreover, a novel event-triggered strategy is established to further save system transmission resources. It contains a two-bits signal transmission mechanism. According to the theoretical analysis and simulation results, the boundness of all signals can be guaranteed and the validity of the proposed method can be verified.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2971373