Article ID Journal Published Year Pages File Type
411609 Neurocomputing 2016 6 Pages PDF
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
, , , ,