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

  • Tao, Yue-Yue; 
  • Wu, Zheng-Guang; 
  • Huang, Tingwen; 
  • Chakrabarti, Prasun; 
  • Ahn, Choon Ki
Citations

WEB OF SCIENCE

60
Citations

SCOPUS

64

초록

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-infinity 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.

키워드

Event-triggered mechanism (ETM); hidden Markov model (HMM); singular Markov jump systems (MJSs); H-INFINITY CONTROL; TIME; SYNCHRONIZATION; NETWORKS
제목
Asynchronous Event-Triggered Output-Feedback Control of Singular Markov Jump Systems
저자
Tao, Yue-Yue; Wu, Zheng-Guang; Huang, Tingwen; Chakrabarti, Prasun; Ahn, Choon Ki
DOI
10.1109/TCYB.2022.3217197
발행일
2023-11-01
유형
Article; Early Access
저널명
IEEE Transactions on Cybernetics
권
53
호
11
페이지
7342 ~ 7352