| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 722364 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
This paper proposes a parity relation based fault estimation for a class of nonlinear systems which can be modelled by Takagi-Sugeno (TS) fuzzy models. The design of a parity relation based residual generator is formulated in terms of a family of linear matrix inequalities (LMIs). A numerical example is provided to llustrate the effectiveness of the proposed design techniques.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Sing Kiong Nguang, Ping Zhang, Steven Ding,