文献类型：期刊文献

中文题名：Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints

作者：Yan WEI[1];Jun LUO[2];Huaicheng YAN[3];Yueying WANG[2]

机构：[1]School of Aeronautics and Astronautics,Shanghai Jiao Tong University,Shanghai 200240,China;[2]School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,China;[3]School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China

年份：2021

卷号：22

期号：12

起止页码：1610

中文期刊名：Frontiers of Information Technology & Electronic Engineering

外文期刊名：信息与电子工程前沿（英文版）

收录：Scopus;CSCD:【CSCD2021_2022】；

基金：Project supported by the National Natural Science Foundation of China(Nos.61973204 and 61703275)。

语种：英文

中文关键词：Event-triggered control;Nonlinear mapping;Adaptive fuzzy control;Finite-time;State constraints

摘要：This paper investigates the issue of event-triggered adaptive finite-time state-constrained control for multi-input multi-output uncertain nonlinear systems.To prevent asymmetric time-varying state constraints from being violated,a tan-type nonlinear mapping is established to transform the considered system into an equivalent“non-constrained”system.By employing a smooth switch function in the virtual control signals,the singularity in the traditional finite-time dynamic surface control can be avoided.Fuzzy logic systems are used to compensate for the unknown functions.A suitable event-triggering rule is introduced to determine when to transmit the control laws.Through Lyapunov analysis,the closed-loop system is proved to be semi-globally practical finite-time stable,and the state constraints are never violated.Simulations are provided to evaluate the effectiveness of the proposed approach.