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Event-triggered finite-time L1 control for positive Markov jump systems with partly known transition probability

  • Shuo Li
    ,
  • Liang Li
    ,
  • Zhengrong Xiang(corresponding author)
    ,
  • Jiangmin Tian
    ,
*Corresponding author for this work
  • Hangzhou Dianzi University
    ,
  • Nanjing University of Science and Technology
    ,
  • COMSATS University Islamabad
Research Output:
Contribution to journal
Article
Peer-review

Abstract

The article studies the event-triggered finite-time L1 control design for positive Markov jump systems(PMJSs) with partly known transition probability. Firstly, with regard to the unique positive characteristic, a novel 1-norm based event-triggering condition is proposed for PMJSs. Then, sufficient conditions of positivity and finite-time L1 boundedness are provided for the closed-loop system under the constructed even-triggered control law. Based on this, by applying the matrix decomposition technology to the event-triggered controller gain matrix, an effective mode-dependent event-triggered finite-time L1 control scheme in the solvable linear programming(LP) form is presented for PMJSs while preserving the positivity and finite-time L1 boundedness in closed-loop. Further, an effective LP-based event-triggered finite-time L1 control scheme is also obtained for PMJSs with completely known transition probability and completely unknown transition probability, respectively. Finally, two examples are presented to verify the validity of the obtained results.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 10018-10040 (23 pages)

Journal (Volume, Issue Number)

Journal of the Franklin Institute (Volume 360, Issue 13)

Publication milestones

  • Accepted/In press - 21/07/2023
  • E-pub ahead of print - 24/07/2023
  • Published - 24/07/2023

Publication status

Published - 24/07/2023

ISSN

0016-0032

Publication IDs

  • Scopus: 85166229103