Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
411609 | Neurocomputing | 2016 | 6 Pages |
Abstract
This paper studies the integrated design of fuzzy observer-based fault detection (FD) for nonlinear systems in the presence of external disturbances. To this end, we first approximate the nonlinear systems by a set of Takagi–Sugeno (T–S) fuzzy models. Then, the observer-based FD systems are studied with the aid of L2L2 stability theory. In the end, a numerical example is given to show the efficiency of the proposed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Linlin Li, Steven X. Ding, Ying Yang, Yong Zhang,