Adaptive Fuzzy Consensus Control of Uncertain Nonlinear Second-Order Systems with Output constraints

被引：0

作者：

Wei, Wang ^{[1
]}

Yang, Yu ^{[1
]}

机构：

[1] Liaoning Univ Technol, Sch Elect Engn, Jinzhou 121001, Peoples R China

来源：

2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年

基金：

中国国家自然科学基金;

关键词：

Adaptive Fuzzy Control; Barrier Lyapunov Function; Output Constraint; Leader-following Consensus; LEADER-FOLLOWING CONTROL; MULTIAGENT SYSTEMS; TRACKING; SYNCHRONIZATION;

D O I：

暂无

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 studies the adaptive fuzzy consensus control problem for uncertain nonlinear second-order systems with output constraints and an active leader under directed communication graphs. Fuzzy logic systems are utilized to identify the unknown dynamics of the followers. A novel adaptive fuzzy leader-following consensus control is constructed by combining dynamic surface control with Barrier Lyapunov function. The proposed consensus control approach can guarantee all followers to synchronize to the leader with bounded tracking errors. Besides, the output constraints are not violated. A simulation example is provided to illustrate the performance of the proposed consensus control approach.

引用

页码：6795 / 6799

页数：5

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