Open AccessSampled‐data control of asynchronously switched non‐linear systems via T–S fuzzy model approach
Author(s) -
He Hangfeng,
Xianwen Gao,
Qi Wenhai
Publication year - 2017
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0521
Subject(s) - control theory (sociology) , linear matrix inequality , stability (learning theory) , computer science , fuzzy logic , state (computer science) , asynchronous communication , exponential stability , fuzzy control system , control (management) , linear system , mathematics , nonlinear system , mathematical optimization , algorithm , artificial intelligence , computer network , mathematical analysis , physics , quantum mechanics , machine learning
This study deals with switched non‐linear systems subject to sampled‐data control. The states and switching signals of controllers in this study are both considered to be sampled. The corresponding closed‐loop systems are modelled as asynchronously switched T–S fuzzy systems with time‐varying delay. Based on asynchronous switching approach and time‐varying delay approach, the state feedback controllers are designed in terms of a strict linear matrix inequality. Moreover, the switching strategy is studied to guarantee the exponential stability of the systems. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.