Input-to-state Stability for Hybrid Kalman Filters

被引：0
|
作者：
Bechihi, Adel [1 ,2 ]
Panteley, Elena [3 ]
Bouttier, Arnaud [2 ]
机构：
[1] CentraleSupelec, Lab Signaux & Syst, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
[2] Mitsubishi Elect R&D Ctr Europe, 1 Allee Beaulieu,CS 10806, F-35708 Rennes 7, France
[3] CNRS, Lab Signaux & Syst, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
来源：
IFAC PAPERSONLINE | 2022年 / 55卷 / 20期
关键词：
Input-to-state stability; hybrid systems; Kalman filters;
D O I：
10.1016/j.ifacol.2022.09.111
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 article, we propose a Lyapunov-based characterization of exponential inputto-state stability (ISS) for hybrid systems. We propose a new formulation of the continuousdiscrete Kalman filter algorithm Sarkka (2006) using the hybrid systems framework Goebel et al. (2012) where we consider continuous-time system dynamics and discrete-time observations. We prove exponential input-to-state stability on the estimation error of the hybrid Kalman filter under mild assumptions on the system's model. Copyright (C) 2022 The Authors.
引用
收藏
页码：295 / 300
页数：6
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