Abstract
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.
| Original language | English |
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| Title of host publication | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 20-24 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350316889 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 International Conference on Neuromorphic Computing, ICNC 2023 - Wuhan, China Duration: 15 Dec 2023 → 17 Dec 2023 |
Publication series
| Name | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
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Conference
| Conference | 2023 International Conference on Neuromorphic Computing, ICNC 2023 |
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| Country/Territory | China |
| City | Wuhan |
| Period | 15/12/23 → 17/12/23 |
Keywords
- lur'e systems
- specific-time observer
- unknown input observer
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Chao, C., Huang, S., Lv, Y., & Shan, D. (2023). Specific-Time Unknown Input Observer for Lur'e System. In 2023 International Conference on Neuromorphic Computing, ICNC 2023 (pp. 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