Dissipative consensus problems for multi-agent networks via sliding mode control

被引：20
|
作者：
Wu, Yonghong [1 ]
Guan, Zhi-Hong [2 ]
Li, Tao [3 ]
机构：
[1] Wuhan Univ Technol, Sch Sci, Wuhan 430072, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Coll Automat, Wuhan 430074, Hubei, Peoples R China
[3] Yangtze Univ, Sch Elect & Informat, Jingzhou 434023, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2017年 / 354卷 / 14期
基金：
中国国家自然科学基金;
关键词：
NEURAL-NETWORKS; SYSTEMS; STABILITY; FLOCKING;
D O I：
10.1016/j.jfranklin.2017.07.033
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, dissipative consensus problems are discussed for multi-agent networks. Firstly, sufficient conditions are proposed to ensure (Q, S, R)-dissipative consensus for multi-agent networks with external disturbances. Then, by designing an integral-type sliding surface function, a controller is obtained and the corresponding sufficient conditions are given to guarantee (Q, S, R)-dissipative consensus for multi-agent networks with external disturbances. Moreover, the sliding mode control law is formulated such that multi-agent networks drive onto the predefined surface in finite time. Finally, an example is given to illustrate the effectiveness of the obtained results. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：6282 / 6291
页数：10
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