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


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 <inline-formula> <tex-math notation="LaTeX">$H_{\infty}$</tex-math> </inline-formula> 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)1-11
Number of pages11
JournalIEEE Transactions on Cybernetics
Publication statusAccepted/In press - 2022


  • Control systems
  • Event-triggered mechanism (ETM)
  • Generators
  • hidden Markov model (HMM)
  • Hidden Markov models
  • Markov processes
  • Mathematical models
  • Optimization
  • singular Markov jump systems (MJSs)
  • Switches

ASJC Scopus subject areas

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


Dive into the research topics of 'Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems'. Together they form a unique fingerprint.

Cite this