Generalized observability analysis and observer design for a class of systems with multiple uncertain dynamics and measurement biases

被引:5
|
作者
Zhang, Xiaocheng [1 ,2 ]
Xue, Wenchao [1 ,2 ]
Chen, Sen [3 ]
Fang, Haitao [1 ,2 ]
机构
[1] Chinese Acad Sci, Acad Math & Syst Sci, LSC, NCMIS, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
[3] Shaanxi Normal Univ, Sch Math & Informat Sci, Xian 710119, Peoples R China
基金
国家重点研发计划;
关键词
Observability; Uncertainty; Biased measurement; Estimation error;
D O I
10.1016/j.sysconle.2021.104897
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 is concerned with a systematic discussion on the problem of state estimation for a class of systems with multiple uncertain dynamics and multiple measurement biases. Instead of the traditional observability definition only for system state vector, we consider the generalized observability for the combinations of system state vector, uncertain dynamics and measurement bias. Firstly, a necessary and sufficient condition for the observability of system state vector is developed. Moreover, the set of all the observable combinations of system state vector, uncertain dynamics and measurement bias is presented. Correspondingly, an observer is constructed for estimating a special observable combination which is an approximation of system state vector. More importantly, the bound of the resulting estimation error for the system state vector is quantitatively discussed. Finally, the simulation study on a two-mass-spring system illustrates our theoretical results. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
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