摘要
This paper investigates the problem of specific-time state estimation for Lur'e systems with unknown inputs. By analyzing nonlinear Lur'e systems, sufficient conditions for the design of unknown input observers are provided. Then, a specific-time observer is designed, with convergence analysis illustrated. The main advantage of the designed observer can realize accurate estimation of Lur'e system in specific time. Finally, a simulation example of the third-order Chua's circuit is conducted to verify the validity of the proposed specific-time unknown input observer.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 20-24 |
| 页数 | 5 |
| ISBN（电子版） | 9798350316889 |
| DOI | |
| 出版状态 | 已出版 - 2023 |
| 活动 | 2023 International Conference on Neuromorphic Computing, ICNC 2023 - Wuhan, 中国 期限: 15 12月 2023 → 17 12月 2023 |
出版系列
| 姓名 | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
|---|
会议
| 会议 | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Wuhan |
| 时期 | 15/12/23 → 17/12/23 |
指纹
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Chao, C., Huang, S., Lv, Y., & Shan, D. (2023). Specific-Time Unknown Input Observer for Lur'e System. 在 2023 International Conference on Neuromorphic Computing, ICNC 2023 (页码 20-24). (2023 International Conference on Neuromorphic Computing, ICNC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNC59488.2023.10462872