Ellipsoidal State Estimation for Systems with Interval Uncertainties

被引：0

作者：

Ben Chabane, S. ^{[1
]}

Maniu, C. Stoica ^{[1
]}

Alamo, T. ^{[2
]}

Camacho, E. F. ^{[2
]}

Dumur, D. ^{[1
]}

机构：

[1] SUPELEC Syst Sci E3S, Dept Automat Control, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France

[2] Univ Seville, Dept Ingn Sistemas & Automat, Seville 41092, Spain

来源：

2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2014年

关键词：

set-membership state estimation; ellipsoidal set; interval uncertainty; bounded noises and perturbations; Linear Matrix Inequality;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new ellipsoidal set-membership state estimation approach for linear systems with interval uncertainties, bounded perturbations and noises. This approach consists in minimizing the radius of the ellipsoidal state estimation set at each time instant by solving a Linear Matrix Inequality problem. An improvement of the accuracy of this estimation technique is further proposed by adding quadratic constraints on the measurements and perturbations. The proposed methods are analyzed via an illustrative example.

引用

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页码：2603 / 2608

页数：6

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