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

被引：6

作者：

Chen, Zicong ^{[1
,2
]}

Wang, Jianhui ^{[2
]}

Ma, Kemao ^{[3
]}

Zhu, Peisen ^{[2
]}

He, Biaotao ^{[2
]}

Zhang, Chunliang ^{[2
]}

机构：

[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China

[2] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China

[3] Sch Harbin Inst Technol, Harbin 150006, Peoples R China

来源：

SOFT COMPUTING | 2021年 / 25卷 / 08期

关键词：

Input hysteresis; Fuzzy logic systems (FLSs); Backstepping technique; Event-triggered control; Two-bit signal transmission;

D O I：

10.1007/s00500-021-05656-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：6619 / 6631

页数：13

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