Event-triggered adaptive fuzzy tracking control of nonlinear MIMO systems

被引：13
|
作者：
Li, Yuan-Xin [1 ]
Yang, Guang-Hong [2 ]
Tong, Shaocheng [1 ]
机构：
[1] Liaoning Univ Technol, Dept Sci, Jinzhou 121001, Liaoning, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2018年 / 49卷 / 12期
关键词：
Backstepping; MIMO nonlinear systems; event-triggered control; adaptive control; fuzzy logic systems; SLIDING MODE CONTROL; NETWORK; DESIGN;
D O I：
10.1080/00207721.2018.1506523
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses the problem of an adaptive fuzzy event-triggered control (ETC) for uncertain multi-input and multi-output nonlinear systems. To reduce the communication burden of the network control systems, a novel state-dependent event-triggering condition is designed to decide when to update the controllers. By combining the backstepping and event-trigged techniques, the adaptive fuzzy ETC strategies are developed and the resulting closed-loop system is semi-global bounded. Finally, the analytical results are substantiated using simulation studies.
引用
收藏
页码：2618 / 2629
页数：12
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