TY - GEN
T1 - Filtering of takagi-sugeno fuzzy switched system with application to sensor fault detection
AU - Su, Xiaojie
AU - Shi, Peng
AU - Wu, Ligang
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/8
Y1 - 2015/2/8
N2 - The filtering problem for T-S fuzzy switched stochastic system is investigated in this paper. The aim is to construct a fault detection technique for the T-S fuzzy switched system. Based on observer-based fault detection fuzzy filter as a residual generator, the proposed fault detection is formulated as a fuzzy filtering problem. Then, the fault detection filters are designed that guarantee the resulted error system to be mean-square exponential stable with a weighted system error performance. Finally, the corresponding solvability condition for the fault detection fuzzy filter is also established by the linearization procedure technique.
AB - The filtering problem for T-S fuzzy switched stochastic system is investigated in this paper. The aim is to construct a fault detection technique for the T-S fuzzy switched system. Based on observer-based fault detection fuzzy filter as a residual generator, the proposed fault detection is formulated as a fuzzy filtering problem. Then, the fault detection filters are designed that guarantee the resulted error system to be mean-square exponential stable with a weighted system error performance. Finally, the corresponding solvability condition for the fault detection fuzzy filter is also established by the linearization procedure technique.
UR - https://www.scopus.com/pages/publications/84961999174
U2 - 10.1109/CDC.2015.7402554
DO - 10.1109/CDC.2015.7402554
M3 - 会议稿件
AN - SCOPUS:84961999174
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 2325
EP - 2328
BT - 54rd IEEE Conference on Decision and Control,CDC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 54th IEEE Conference on Decision and Control, CDC 2015
Y2 - 15 December 2015 through 18 December 2015
ER -