Title :
Fault detection for sampled-data systems in H∞ setting
Author :
You, Fuqiang ; Wang, Fuli ; Mao, Zhizhong
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Fault detection problem for sampled-data systems is investigated in the framework of linear systems with jumps. Incipient actuator is a great challenge in fault detection for sampled-data systems. Utilizing H∞ filtering technique, fault estimator is designed. One sufficient existence condition and the design algorithm for the detector are then both provided in terms of solution to a set of Riccati differential equation with finite discrete jumps.
Keywords :
H∞ control; Riccati equations; actuators; fault diagnosis; filtering theory; linear systems; sampled data systems; H∞ filtering technique; H∞ setting; Riccati differential equation; fault detection; fault estimator; finite discrete jumps; incipient actuator; linear systems; sampled-data systems; Actuators; Estimation; Fault detection; Linear systems; Low pass filters; Riccati equations; Symmetric matrices; Fault detection; Riccati equation; Sampled-data systems;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244358
