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
Main Authors: Zicong Chen, Lin Wang, Jianhui Wang, Qinruo Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8979365/
Description
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