Asynchronous Static Output-Feedback Control of Markovian Jump Linear Systems

Yue-Yue Tao, Zheng-Guang Wu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Citations (Scopus)

Abstract

This paper aims to study the asynchronous static output-feedback (S-OF) stabilization problem for discrete-time Markovian jump linear systems (MJLSs) with non-ideal state and mode detection. Since the system state and mode cannot always be obtained ideally, an asynchronous S-OF controller is designed whose mode can be estimated from the system mode via a hidden Markovian model (HMM). A system augmentation approach is used to obtain an equivalent augmented system, in which the input and (controller gain)-output matrices are separated to facilitate the parameterization of controller gains. Under the augmented system characterization, several new necessary and sufficient stability conditions are established for the concerned closed-loop systems. An iterative LMI-based algorithm is proposed to design an asynchronous S-OF controller. A D-K optimization approach is used to improve its feasibility by finding more appropriate initial values. Three numerical examples are presented to demonstrate the effectiveness of the proposed design methods. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Original languageEnglish
Pages (from-to)2453-2460
JournalIEEE Transactions on Automatic Control
Volume69
Issue number4
Online published15 Aug 2023
DOIs
Publication statusPublished - Apr 2024

Funding

This work was supported by National Natural Science Foundation of China under Grant U1966202.

Research Keywords

  • Biomedical measurement
  • Closed loop systems
  • Hidden Markov models
  • Hidden markovian model
  • Linear matrix inequalities
  • Linear systems
  • markovian jump systems
  • Optimization
  • Signal processing algorithms
  • static output-feedback stabilization
  • system augmentation approach

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