TY - GEN
T1 - L∞ fault estimation observer design for discrete-time linear parameter-varying systems
AU - Zhang, Wenhan
AU - Wang, Zhenhua
AU - Shen, Yi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, an L∞ fault estimation observer design approach is proposed for linear parameter-varying systems. First, an augmented system is formulated with the aid of the state augmentation techniques. Then, the L∞ performance analysis is utilized to design the fault estimation observer and attenuate the influences of unknown disturbances, noises and fault variation. In particular, the presented observer has more design freedom and provides more accurate fault estimation results by introducing a novel observer structure. Finally, the feasibility and effectiveness of the presented observer are proven by a non-linear truck-trailer model.
AB - In this paper, an L∞ fault estimation observer design approach is proposed for linear parameter-varying systems. First, an augmented system is formulated with the aid of the state augmentation techniques. Then, the L∞ performance analysis is utilized to design the fault estimation observer and attenuate the influences of unknown disturbances, noises and fault variation. In particular, the presented observer has more design freedom and provides more accurate fault estimation results by introducing a novel observer structure. Finally, the feasibility and effectiveness of the presented observer are proven by a non-linear truck-trailer model.
KW - Linear parameter-varying systems
KW - L∞ performance analysis
KW - fault estimation
KW - observer design
UR - https://www.scopus.com/pages/publications/85129460142
U2 - 10.1109/ISAS55863.2022.9757346
DO - 10.1109/ISAS55863.2022.9757346
M3 - 会议稿件
AN - SCOPUS:85129460142
T3 - 2022 5th International Symposium on Autonomous Systems, ISAS 2022
BT - 2022 5th International Symposium on Autonomous Systems, ISAS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Symposium on Autonomous Systems, ISAS 2022
Y2 - 8 April 2022 through 10 April 2022
ER -