An Asynchronous Operation Approach to Event-Triggered Control for Fuzzy Markovian Jump Systems With General Switching Policies

This paper investigates the problem of event-triggered control for a class of fuzzy Markov jump systems with general switching policies. A novel event-triggered scheme is proposed to improve the transmission efficiency at each sampling instance. Each transition rate allows to be unknown, known, or o...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2018-02, Vol.26 (1), p.6-18
Main Authors: Cheng, Jun, Park, Ju H., Zhang, Lixian, Zhu, Yanzheng
Format: Article
Language:English
Subjects:
Asynchronous operation approach
Delays
event-triggered (ET) control
finite-time stability
fuzzy Markov jump system
Fuzzy systems
Manganese
Markov processes
Switches
switching policies
Symmetric matrices
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Summary:This paper investigates the problem of event-triggered control for a class of fuzzy Markov jump systems with general switching policies. A novel event-triggered scheme is proposed to improve the transmission efficiency at each sampling instance. Each transition rate allows to be unknown, known, or only its uncertain domains value is known. With the help of a tailored technique to bind the uncertain terms and an asynchronous operation approach to tackle the fuzzy system and fuzzy controller, sufficient conditions for the resulting fuzzy Markovian jump systems are established in terms of coupled linear matrix inequalities. Finally, an example is given to illustrate the validity of the developed technique.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2016.2633325