An Event-Based Asynchronous Approach to Markov Jump Systems with Hidden Mode Detections and Missing Measurements

Jun Cheng, Choon Ki Ahn, Hamid Reza Karimi, Jinde Cao, Wenhai Qi

Research output: Contribution to journalArticlepeer-review

163 Citations (Scopus)

Abstract

This paper is concerned with event-based H control for a class of networked Markov jump systems (MJSs) with missing measurements. The phenomenon of asynchronism occurs in both the controller and the actuator-failure model, which is estimated by the hidden Markov model, is taken into consideration. In addition, to reduce the burden of data transmission, a mode-dependent event-triggered mechanism (ETM) is proposed. Together with ETM, a network-induced delay is introduced. Subsequently, to guarantee that the MJS is stochastically stable, an event-based asynchronous controller is designed. Finally, to reveal the effectiveness of the proposed method, a simulation example of pulse width-modulation-driven boost converter is considered.

Original languageEnglish
Article number8458268
Pages (from-to)1749-1758
Number of pages10
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume49
Issue number9
DOIs
Publication statusPublished - 2019 Sept

Bibliographical note

Funding Information:
Manuscript received May 27, 2018; revised July 10, 2018; accepted August 19, 2018. Date of publication September 10, 2018; date of current version August 16, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61703150, in part by the Program for Innovative Research Team of the Higher Education Institutions of Hubei Province under Grant T201812, in part by the National Natural Science Foundation of China (Key Program) under Grant 61833005, and in part by the National Research Foundation of Korea through the Ministry of Science, ICT, and Future Planning under Grant NRF-2017R1A1A1A05001325. This paper was recommended by Associate Editor Z. Wang. (Corresponding authors: Jun Cheng; Choon Ki Ahn.) J. Cheng is with the School of Automation and Electrical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China, and also with the School of Science, Hubei University for Nationalities, Enshi 445000, China (e-mail: jcheng6819@126.com).

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Event-triggered mechanism (ETM)
  • Markov jump system (MJS)
  • hidden Markov model (HMM)
  • missing measurement

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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