Robust Moving-Horizon Estimation for Quasi-LPV Discrete-Time Systems

被引：0
|
作者：
Arezki, H. [1 ,2 ]
Alessandri, A. [1 ]
Zemouche, A. [2 ]
机构：
[1] Univ Genoa, DIME, Via Opera Pia 15, I-16145 Genoa, Italy
[2] Univ prime Lorraine, CRAN CNRS UMR 7039, F-54400 Cosnes Et Romain, France
来源：
IFAC PAPERSONLINE | 2023年 / 56卷 / 02期
关键词：
Quasi-LPV systems; moving horizon estimator; stability; incremental input output-to-state stability; TO-STATE STABILITY; DETECTABILITY;
D O I：
10.1016/j.ifacol.2023.10.384
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 deals with moving horizon estimation for a class of quasi-LPV systems. Under both observability condition and incremental exponential input output-to-state stability (i-EIOSS) assumption, novel stability conditions of the moving horizon estimator (MHE) are proposed. Such conditions guarantee exponential robust stability of the MHE based on a particular prediction step that is independent of the dynamic of the system. An application to vehicle motion estimation, using the kinematic model, is provided to show the validity and effectiveness of the proposed method, and to support the theoretical results. Copyright (C) 2023 The Authors.
引用
收藏
页码：6771 / 6776
页数：6
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