DocumentCode :
2220410
Title :
Observer-based Fault Detection for Piecewise Linear Systems: Discrete-time Cases
Author :
Xu, Jun ; Lum, Kai Yew ; Loh, Ai Poh
Author_Institution :
Nat. Univ. of Singapore, Singapore
fYear :
2007
fDate :
1-3 Oct. 2007
Firstpage :
373
Lastpage :
378
Abstract :
In this paper, we discuss the fault detection with unknown inputs for a class of discrete-time piecewise linear systems. Piecewise linear systems are mostly partitioned based on their state variables. Due to the system noise and estimation errors, the transitions of actual state and its estimate may not be synchronized, as well as the system modes. Motivated by the recent works [31], [29], [32], [30], [27], we consider the fault detection problem using non-synchronized observer and presents several less conservative design approaches.
Keywords :
discrete time systems; fault diagnosis; linear matrix inequalities; piecewise linear techniques; discrete-time piecewise linear system; error estimation; linear matrix inequalities; observer-based fault detection; Control systems; Fault detection; Linear matrix inequalities; Mathematical model; Noise measurement; Nonlinear systems; Observers; Piecewise linear techniques; State estimation; Time measurement; Bilinear matrix inequality (BMI); Fault detection; linear matrix inequality (LMI); piecewise linear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0442-1
Electronic_ISBN :
978-1-4244-0443-8
Type :
conf
DOI :
10.1109/CCA.2007.4389259
Filename :
4389259
Link To Document :
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