Robust ellipsoidal set-membership fault estimation for time-varying systems with uniform quantization effects over sensor networks

Author:

Zhao Peiying1,Zhang Jianxi23

Affiliation:

1. School of Mathematics and Quantitative Economics, Shandong University of Finance and Economics, Jinan, Shandong, China

2. Shandong Institute of Commerce and Technology, Jinan, China

3. National Engineering Research Center for Agricultural Products Logistics, Jinan, China

Abstract

This article is concerned with the robust set-membership fault estimation problem for a class of uncertain discrete time-varying systems over sensor networks. The system measurements are subject to the uniform quantization which results in the unknown-but-bounded noises. Attention is focused on the design of a set-membership fault estimator such that, in the simultaneous presence of uncertain parameters, unknown-but-bounded noises and uniform quantization effects, the estimation errors are confifined to a certain ellipsoidal region. By using the mathematical induction, a suffificient condition is derived for the existence of the desired fault estimator at each time step in terms of a set of recursive matrix inequalities. Moreover, an optimization problem is formulated by minimizing the ellipsoid of the estimation error. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed fault estimator design scheme.

Publisher

PeerJ

Subject

General Computer Science

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