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 language | English |
|---|---|
| Pages (from-to) | 2453-2460 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 69 |
| Issue number | 4 |
| Online published | 15 Aug 2023 |
| DOIs | |
| Publication status | Published - 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