Title :
Observer-based Fault Detection for Piecewise Linear Systems: Continuous-time Cases
Author :
Xu, Jun ; Loh, Ai Poh ; Lum, Kai Yew
Author_Institution :
Temasek Lab., Nat. Univ. of Singapore, Singapore
Abstract :
In this paper, we discuss the fault detection with unknown inputs for a class of continuous-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. Hence, we consider the fault detection problem based on non-synchronized observer for these systems. This paper extends the authors´ previous works and presents a number of less conservative design approaches.
Keywords :
continuous time systems; fault diagnosis; linear matrix inequalities; observers; piecewise linear techniques; bilinear matrix inequality; continuous-time piecewise linear system; estimation error; observer-based fault detection; state variable; system noise; Control systems; Estimation error; Fault detection; Linear matrix inequalities; Nonlinear systems; Observers; Piecewise linear techniques; Power system modeling; State estimation; Switches; Bilinear matrix inequality (BMI); Fault detection; linear matrix inequality (LMI); piecewise linear systems;
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
DOI :
10.1109/CCA.2007.4389260