Fault estimations for uncertain linear continuous-time systems

Author

Ju, He-Hua ; Wang, Heng ; Deng, Yi-Qun ; Wang, Yu-Long

Author_Institution

Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China

fYear

2009

fDate

17-19 June 2009

Firstpage

1589

Lastpage

1594

Abstract

This paper studies the problem of fault estimations for linear continuous-time systems with polytopic uncertainties. A fault detection filter is designed, which minimizes the disturbance effects on residual output and maximizes the fault effects on residual output. By using the generalized Kalman-Yakubovich-Popov (GKYP) Lemma, the design problem is formulated to solving a set of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the method proposed in this paper.

Keywords

continuous time systems; control system synthesis; fault diagnosis; linear matrix inequalities; linear systems; uncertain systems; continuous-time system; fault detection filter; fault estimation; generalized Kalman-Yakubovich-Popov lemma; linear matrix inequality; polytopic uncertainty; uncertain linear system; Control engineering; Design methodology; Educational institutions; Fault detection; Filters; Frequency domain analysis; Linear matrix inequalities; Programmable logic arrays; Symmetric matrices; Uncertainty; Faut estimation; Linear matrix inequality (LMI); Linear uncertain systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5192228

Filename

5192228