Parity based fault estimation for nonlinear systems: An LMI approach
In: Proceedings of the 2006 American Control Conference (ACC) : (14-16 June 2006) - Minneapolis, Minnesota, 2006
2006Buchaufsatz/Kapitel in Sammelwerk
TechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Titel:
Parity based fault estimation for nonlinear systems: An LMI approach
Autor*in:
Nguang, Sing Kiong;Zhang, Ping;Ding, Steven X.UDE
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Sonstiges
- der Hochschule zugeordnete*r Autor*in
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