Open AccessMode‐dependent event‐triggered control of networked switching Takagi–Sugeno fuzzy systems
Author(s) -
Liu Hao
Publication year - 2016
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.2015.0615
Subject(s) - control theory (sociology) , dwell time , fuzzy logic , scheme (mathematics) , mode (computer interface) , computer science , stability (learning theory) , fuzzy control system , controller (irrigation) , networked control system , event (particle physics) , control (management) , mathematics , artificial intelligence , physics , quantum mechanics , operating system , medicine , clinical psychology , mathematical analysis , machine learning , agronomy , biology
This study presents a novel mode‐dependent event‐triggering (MDET) scheme for networked switching Takagi–Sugeno fuzzy systems. Firstly, a new delay system model for the stability analysis is proposed by considering network‐induced delay. Then, based on this model and mode‐dependent average dwell time method, sufficient conditions are obtained to guarantee the exponential stability. Criteria for co‐designing the event generator parameters and the controller gain matrices are given. Finally, numerical examples are provided to show that the MDET scheme proposed in this study is less conservative than some existing event‐triggering schemes.