Paper Info
Title
New Results on Sliding-Mode Control for Takagi-Sugeno Fuzzy Multiagent Systems.
Abstract
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.
Year
DOI
Venue
2019
10.1109/TCYB.2018.2804759
IEEE transactions on cybernetics
Keywords
Field
DocType
Stability analysis,Mathematical model,Fuzzy systems,Symmetric matrices,Sliding mode control,Nonlinear systems,Fuzzy sets
Mathematical optimization,Control theory,Fuzzy logic,Symmetric matrix,Fuzzy set,Fuzzy control system,Linear-quadratic regulator,Mathematics,Linear matrix inequality,Sliding mode control
Journal
Volume
Issue
ISSN
49
5
2168-2275
Citations 
PageRank 
References 
12
0.50
15
Authors
4
Name
Order
Citations
PageRank
Zhuo Zhang118627.49
Yang Shi22195135.36
Zexu Zhang319212.27
Weisheng Yan431527.76