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具有传感器网络上均匀量化效应的时变系统的鲁棒椭球集成员故障估计

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

作者信息

Zhao Peiying, Zhang Jianxi

机构信息

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

Shandong Institute of Commerce and Technology, Jinan, China.

出版信息

PeerJ Comput Sci. 2022 Mar 17;8:e872. doi: 10.7717/peerj-cs.872. eCollection 2022.

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.

摘要

本文关注传感器网络上一类不确定离散时变系统的鲁棒集员故障估计问题。系统测量受到均匀量化影响,从而产生未知但有界的噪声。重点在于设计一个集员故障估计器,使得在同时存在不确定参数、未知但有界噪声和均匀量化效应的情况下,估计误差被限制在某个椭球区域内。通过使用数学归纳法,根据一组递归矩阵不等式,得出了在每个时间步存在期望故障估计器的充分条件。此外,通过最小化估计误差的椭球来构建一个优化问题。最后,给出两个数值例子来说明所提出的故障估计器设计方案的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70d3/9044252/07e4949a86df/peerj-cs-08-872-g001.jpg

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