Zonotopic unknown input state estimator for discrete-time linear systems

被引：4
|
作者：
Meslem, Nacim [1 ]
Hably, Ahmad [1 ]
Raissi, Tarek [2 ]
机构：
[1] Univ Grenoble Alpes, GIPSA lab, CNRS, Grenoble INP, F-38000 Grenoble, France
[2] Conservatoire Natl Arts & Metiers, 292 Rue St Martin, F-75141 Paris, France
来源：
SYSTEMS & CONTROL LETTERS | 2022年 / 162卷
关键词：
Discrete-time linear systems; Unknown input observers; Zonotopic set computation; Reachability analysis; Set-membership estimation; INTERVAL OBSERVERS; DESIGN;
D O I：
10.1016/j.sysconle.2022.105168
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work state estimation for unknown input discrete-time linear systems is tackled in a bounded error context. First, under the boundedness assumption on both process and measurement noise as well as on system's initial state, the estimation problem is reformulated as a reachability problem. Then, by preprocessing the set-valued expression of the general solution of the state equation and applying zonotopic set computation rules, a non-conservative and computationally tractable algorithm is proposed to characterize efficiently the solution set of this problem. Numerical examples are presented to show the performance of the proposed zonotopic unknown input state estimator. (c) 2022 Elsevier B.V. All rights reserved.
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页数：10
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