Title :
Parity based fault estimation for nonlinear systems: an LMI approach
Author :
Nguang, Sing Kiong ; Zhang, Ping ; Ding, Steven
Author_Institution :
Dept. of Electr. & Comput. Eng., Auckland Univ.
Abstract :
This paper deals with the parity based fault estimation for nonlinear systems modelled by Takagi-Sugeno (TS) fuzzy models. In this paper, the parity space approach for linear systems is generalized to TS fuzzy systems, and power spectra of the faults are incorporated into the design procedure. The design procedure is given in terms of a family of linear matrix inequalities (LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed design techniques
Keywords :
control system synthesis; fuzzy set theory; fuzzy systems; linear matrix inequalities; nonlinear systems; state estimation; Takagi-Sugeno fuzzy models; fault estimation; linear matrix inequalities; linear systems; nonlinear systems; parity space; power spectra; system design; Fault detection; Fuzzy systems; Linear matrix inequalities; Linear systems; Nonlinear dynamical systems; Nonlinear systems; Power system modeling; Principal component analysis; State-space methods; Takagi-Sugeno model;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1657538
