Predictor-Based Feedback Control for Discrete-Time Time-Variant Linear State-Delayed Systems With Distinct Input Delays via State Transition Matrices
The stabilization problem for discrete-time time-variant linear state-delayed systems with distinct input delays is investigated in this article. A predictor is constructed for this class of delayed systems in a concise and explicit form by using the state transition matrices as tools. With the aid of the proposed prediction scheme, a predictor-based feedback law is designed to stabilize the considered system. It is shown that the characteristic equation of the closed-loop system under the proposed predictor-based feedback law for the case of time-invariant systems is the same as that of the closed-loop system without distinct input delays. Finally, two numerical examples are employed to verify the effectiveness of the proposed method.
Authors
- Ai‐Guo Wu (ORCID: https://orcid.org/0000-0002-8264-0671)
- Jie Zhang (ORCID: https://orcid.org/0009-0006-2183-1016)
- Shi-Long Shen (ORCID: https://orcid.org/0009-0004-1545-1389)
Institutions
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Cybernetics
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1109/tcyb.2025.3542998
- Citations
- 2
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities