TY - GEN
T1 - Specific-Time Unknown Input Observer for Lur'e System
AU - Chao, Chengke
AU - Huang, Shengchao
AU - Lv, Yuezu
AU - Shan, Dan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - lur'e systems
KW - specific-time observer
KW - unknown input observer
UR - http://www.scopus.com/inward/record.url?scp=85189744223&partnerID=8YFLogxK
U2 - 10.1109/ICNC59488.2023.10462872
DO - 10.1109/ICNC59488.2023.10462872
M3 - Conference contribution
AN - SCOPUS:85189744223
T3 - 2023 International Conference on Neuromorphic Computing, ICNC 2023
SP - 20
EP - 24
BT - 2023 International Conference on Neuromorphic Computing, ICNC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Neuromorphic Computing, ICNC 2023
Y2 - 15 December 2023 through 17 December 2023
ER -