Prescribed performance distributed consensus control for nonlinear multi-agent systems with unknown dead-zone input

被引：40
|
作者：
Cui, Guozeng [1 ]
Xu, Shengyuan [1 ]
Ma, Qian [1 ]
Li, Yongmin [2 ]
Zhan, Zhengqiang [3 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Jiangsu, Peoples R China
[2] Huzhou Teachers Coll, Sch Sci, Huzhou, Zhejiang, Peoples R China
[3] Qufu Normal Univ, Sch Elect Engn & Automat, Rizhao, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL | 2018年 / 91卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Output consensus; nonlinear multi-agent systems; dead-zone; fuzzy logical systems; COOPERATIVE TRACKING CONTROL; OUTPUT-FEEDBACK CONTROL; ADAPTIVE NEURAL-CONTROL; DYNAMIC SURFACE CONTROL; TIME DELAYS; NETWORKS; SYNCHRONIZATION; UNCERTAINTIES; FORM;
D O I：
10.1080/00207179.2017.1305510
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the problem of prescribed performance distributed output consensus for higher-order non-affine nonlinear multi-agent systems with unknown dead-zone input is investigated. Fuzzy logical systems are utilised to identify the unknown nonlinearities. By introducing prescribed performance, the transient and steady performance of synchronisation errors are guaranteed. Based on Lyapunov stability theory and the dynamic surface control technique, a new distributed consensus algorithm for non-affine nonlinear multi-agent systems is proposed, which ensures cooperatively uniformly ultimately boundedness of all signals in the closed-loop systems and enables the output of each follower to synchronise with the leader within predefined bounded error. Finally, simulation examples are provided to demonstrate the effectiveness of the proposed control scheme.
引用
收藏
页码：1053 / 1065
页数：13
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