New Results on Sliding-Mode Control for Takagi-Sugeno Fuzzy Multiagent Systems

被引：92
|
作者：
Zhang, Zhuo [1 ]
Shi, Yang [2 ]
Zhang, Zexu [3 ]
Yan, Weisheng [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
[2] Univ Victoria, Dept Mech Engn, Victoria, BC V8N 3P6, Canada
[3] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Heilongjiang, Peoples R China
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2019年 / 49卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Cooperative control; model transformation; sliding-mode control (SMC); Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs); ATTITUDE SYNCHRONIZATION CONTROL; ACTIVE SUSPENSION; DESIGN; SPACECRAFT; TRACKING; DELAY;
D O I：
10.1109/TCYB.2018.2804759
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 investigates the sliding-mode control (SMC) problem of Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs). A cooperative fuzzy-based dynamical sliding-mode (SM) controller is designed and the overall closed-loop T-S fuzzy MAS is constructed. A new model transformation method for T-S fuzzy MASs is presented to transform the fuzzy weighting matrix into a set of fuzzy weighting scalars. By applying the method of linear matrix inequality, a general stability analysis approach for T-S fuzzy MASs is proposed. Moreover, the energy-cost constraint problem is studied by using the linear quadratic regulator method. Finally, numerical examples are provided to illustrate the effectiveness of the proposed theoretical approaches and the improved performance compared to existing results.
引用
收藏
页码：1592 / 1604
页数：13
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