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03-03-2021 | Methodologies and Application

Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis

Authors: Zicong Chen, Jianhui Wang, Kemao Ma, Peisen Zhu, Biaotao He, Chunliang Zhang

Published in: Soft Computing | Issue 8/2021

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Abstract

In this paper, the fuzzy event-triggered adaptive control problems for a class of nonlinear systems with input hysteresis are investigated. Fuzzy logic systems (FLSs) are applied to address the uncertain part of the systems. Combined with adaptive control, a class of smooth functions are introduced to deal with the approximation error of FLSs, which could improve the system control accuracy. Further, different from the existing event-triggered strategy, a two-bit signal transmission mechanism is proposed to economize system communication resources. With the proposed mechanism, each time when the control signal is updated, only two-bit of digital numbers need to be sent. The convergence and asymptotic tracking performance of the closed-loop system could be guaranteed. Finally, simulation demonstrates the obtained results.

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Title: Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis
Authors: Zicong Chen
Jianhui Wang
Kemao Ma
Peisen Zhu
Biaotao He
Chunliang Zhang
Publication date: 03-03-2021
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 8/2021
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-021-05656-x

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