4.8 Article

Reliable Event-Triggered Asynchronous Extended Passive Control for Semi-Markov Jump Fuzzy Systems and Its Application

期刊

IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 28, 期 8, 页码 1708-1722

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2019.2921264

关键词

Event-triggered mechanism (ETM); mixed H-infinity and passive asynchronous control; semi-Markov jump systems; Takagi-Sugeno (T-S) fuzzy systems

资金

  1. National Natural Science Foundation of China [61873002, 61703004, 61833005, 61503002]
  2. Natural Science Foundation of Anhui Province [1708085MF165, 1808085QA18]
  3. University Excellent Young Talents Foundation of Anhui Province [gxyqZD2017041]
  4. China Postdoctoral Science Foundation [2018M632206]
  5. Basic Science Research Programs through the National Research Foundation of Korea - Ministry of Education [NRF-2017R1A2B2004671]
  6. National Research Foundation of Korea [22A20130000136] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

This paper is concerned with the reliable extended passive control problem for semi-Markov jump Takagi-Sugeno (T-S) fuzzy systems based on an event-triggered mechanism (ETM). An asynchronous approach is utilized to cope with the fuzzy-basis-dependent membership functions in networked fuzzy systems. For fear of the waste of communication resources, an ETM to screen the transmitted data is adopted for T-S fuzzy semi-Markov jump systems under consideration. Owing to the use of Lyapunov stability theory and some novel integral inequalities based on auxiliary functions, some sufficient conditions are obtained to guarantee that the resulting closed-loop system not only meets a prescribed mixed H-infinity and passive performance but also is stochastically stable. Then, by using a skillful matrix decoupling approach, the gains of the fuzzy controller may be expressed specifically. Lastly, the superiority and availability of the developed design method are extensively described and validated via its application to a truck control model.

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