Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems

Yue Yue Tao, Zheng Guang Wu, Tingwen Huang, Prasun Chakrabarti, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This study focused on the asynchronous event-triggered output-feedback controller design problem for discrete-time singular Markov jump systems (MJSs). A hidden Markov model (HMM) was employed to estimate the system mode, which cannot always be ideally detected in practice. Because the full state is also difficult to obtain in practical scenarios, an output-feedback control scheme was used. In addition, an HMM-based event-triggered mechanism was also employed in the design of the controller to reduce the communication burden of the networked system. Sufficient conditions for the stochastic admissibility of a closed-loop singular MJS with a prescribed H performance index were established using the Lyapunov functional technique. Finally, design procedures for an asynchronous event-triggered controller were summarized as a linear-matrix-inequality-based optimization algorithm. Two examples were considered to verify the effectiveness of the asynchronous event-triggered output-feedback controller design method.

Original languageEnglish
Pages (from-to)7342-7352
Number of pages11
JournalIEEE Transactions on Cybernetics
Volume53
Issue number11
DOIs
Publication statusPublished - 2023 Nov 1

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

  • Event-triggered mechanism (ETM)
  • hidden Markov model (HMM)
  • singular Markov jump systems (MJSs)

ASJC Scopus subject areas

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

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