Affiliation:
1. School of Sciences University of Science and Technology Liaoning Anshan China
2. School of Applied Technology University of Science and Technology Liaoning Anshan China
Abstract
SummaryIn this article, we study the problem of robust fault estimation for a class of T‐S fuzzy systems with time delays and external disturbances based on the finite information learning observer. The learning observer with intermittent sampling is constructed and the change rate of output estimation error is introduced to estimate the system fault effectively. At the same time, by introducing a generalized inverse matrix to the designed observer, a sufficient condition for the stability of the error estimation system is given by using fuzzy Lyapunov function, which not only solves the problem of system fault and external disturbance estimation, but also reduces the conservatism of the obtained conclusion. Finally, the results described by LMI are solved numerically and simulated to demonstrate the effectiveness of the proposed method.
Funder
National Natural Science Foundation of China
Scientific Research Fund of Liaoning Provincial Education Department
Subject
Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering