Fixed-time adaptive event-triggered tracking control of uncertain nonlinear systems

被引:0
|
作者
Song Ling
Huanqing Wang
Peter Xiaoping Liu
机构
[1] Beijing Jiaotong University,School of Mechanical, Electronic and Control Engineering
[2] Bohai University,Department of Mathematics
[3] Carleton University,Department of Systems and Computer Engineering
来源
Nonlinear Dynamics | 2020年 / 100卷
关键词
Adaptive backstepping; Event-triggered control; Fixed-time tracking control; Parametric uncertainty; Prescribed performance;
D O I
暂无
中图分类号
学科分类号
摘要
This paper addresses the event-triggered tracking control problem of nonlinear systems with predefined performance in a fixed-time environment. Unlike the existing event-triggered schemes, the developed triggering mechanism only compares the difference between the signal to be transmitted and the holding signal. The proposed control method also considers the response of the triggering mechanism. In order to achieve prescribed control performance under the condition of unmatched uncertainties and uncertain gain functions, a new adaptive fixed-time control strategy is proposed by introducing an error transformation scheme. The proposed control method under the event-triggered framework can reduce the amount of control signals transmitted while ensuring that the system output tracking error converges to a small neighborhood close to zero within a fixed-time frame. The results of two examples, including comparative studies and a practical application, show the effectiveness of the proposed control method.
引用
收藏
页码:3381 / 3397
页数:16
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