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- Publisher Website: 10.1109/CDC49753.2023.10383737
- Scopus: eid_2-s2.0-85184819851
- WOS: WOS:001166433801054
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Conference Paper: Data-Driven Finite-Time Control for Discrete-Time Linear Time-Invariant Systems
| Title | Data-Driven Finite-Time Control for Discrete-Time Linear Time-Invariant Systems |
|---|---|
| Authors | |
| Issue Date | 13-Dec-2023 |
| Publisher | IEEE |
| Abstract | This paper studies the data-driven finite-time control (FTC) problem of unknown discrete-time linear time-invariant (LTI) systems with unknown and bounded noise. The proposed FTC aims to guarantee that the state of such a system does not exceed a given bound over a finite time interval under bounded initial conditions. Data-dependent representations are built for the unknown system without and with noise from pre-collected input/state data, based on which a finite-time controller is designed. Sufficient conditions of finite-time stability/boundness of the closed-loop system without/with noise are derived. Compared with model-based FTC methods that strongly depend on some accurate system models, the proposed method is model-free and only relies on pre-collected data. Numerical simulations are performed to illustrate the effectiveness of the proposed scheme. |
| Persistent Identifier | http://hdl.handle.net/10722/340116 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, Jinjiang | - |
| dc.contributor.author | Liu, Tao | - |
| dc.contributor.author | Liu, Tengfei | - |
| dc.date.accessioned | 2024-03-11T10:41:47Z | - |
| dc.date.available | 2024-03-11T10:41:47Z | - |
| dc.date.issued | 2023-12-13 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/340116 | - |
| dc.description.abstract | <p>This paper studies the data-driven finite-time control (FTC) problem of unknown discrete-time linear time-invariant (LTI) systems with unknown and bounded noise. The proposed FTC aims to guarantee that the state of such a system does not exceed a given bound over a finite time interval under bounded initial conditions. Data-dependent representations are built for the unknown system without and with noise from pre-collected input/state data, based on which a finite-time controller is designed. Sufficient conditions of finite-time stability/boundness of the closed-loop system without/with noise are derived. Compared with model-based FTC methods that strongly depend on some accurate system models, the proposed method is model-free and only relies on pre-collected data. Numerical simulations are performed to illustrate the effectiveness of the proposed scheme.</p> | - |
| dc.language | eng | - |
| dc.publisher | IEEE | - |
| dc.relation.ispartof | IEEE Conference on Decision and Control (13/12/2023-15/12/2023, , , Singapore) | - |
| dc.title | Data-Driven Finite-Time Control for Discrete-Time Linear Time-Invariant Systems | - |
| dc.type | Conference_Paper | - |
| dc.identifier.doi | 10.1109/CDC49753.2023.10383737 | - |
| dc.identifier.scopus | eid_2-s2.0-85184819851 | - |
| dc.identifier.spage | 1595 | - |
| dc.identifier.epage | 1600 | - |
| dc.identifier.isi | WOS:001166433801054 | - |