Dynamic Memory Event-Triggered Adaptive Control for a Class of Strict-Feedback Nonlinear Systems

被引：13

作者：

Liu, Yuezhi ^{[1
,2
]}

Chen, Yong ^{[1
,2
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China

[2] Univ Elect Sci & Technol China, Inst Elect Vehicle Driving Syst & Safety Technol, Chengdu 611731, Sichuan, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2022年 / 69卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Nonlinear dynamical systems; Adaptive systems; Adaptive control; Closed loop systems; Generators; Explosions; Data communication; Dynamic memory event-triggered mechanism; strict-feedback nonlinear system; adaptive control; dynamic surface control; TRACKING;

D O I：

10.1109/TCSII.2022.3158359

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief presents a dynamic memory event-triggered mechanism based adaptive control strategy for a class of strict-feedback nonlinear systems. Firstly, the dynamic memory event-triggered mechanism (DMETM) is established, rigorous proof demonstrates that the triggering intervals of the proposed DMETM are larger than that of the memoryless dynamic event-triggered mechanism. Furthermore, the adaptive control strategy is designed via the dynamic surface control, by which the "explosion of complexity" in the backstepping design process is avoided. Additionally, the proposed DMETM based adaptive dynamic surface controller can guarantee the closed loop system to be semi-globally uniformly ultimately bounded (SGUUB). Finally, the simulation results illustrate the validity of the proposed control strategy.

引用

下载

页码：3470 / 3474

页数：5

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