Nguang, Sing Kiong; Zhang, Ping; Ding, Steven X.:
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
2006book article/chapter in collection
TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title:
Parity based fault estimation for nonlinear systems: An LMI approach
Author:
Nguang, Sing Kiong;Zhang, Ping;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
DOI
10.1109/ACC.2006.1657538
Appears in
Proceedings of the 2006 American Control Conference (ACC) : (14-16 June 2006)
Place of publication:
Minneapolis, Minnesota
Year of publication:
2006
ISBN
1-4244-0210-7

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