Joint state and parameter estimation based on constrained zonotopes

被引：5
|
作者：
Rego, Brenner S. [1 ]
Locatelli, Diego [2 ]
Raimondo, Davide M. [2 ]
Raffo, Guilherme, V [1 ,3 ]
机构：
[1] Univ Fed Minas Gerais, Grad Program Elect Engn, BR-31270901 Belo Horizonte, MG, Brazil
[2] Univ Pavia, Dept Elect Comp & Biomed Engn, Pavia, Italy
[3] Univ Fed Minas Gerais, Dept Elect Engn, BR-31270901 Belo Horizonte, MG, Brazil
来源：
AUTOMATICA | 2022年 / 142卷
基金：
巴西圣保罗研究基金会;
关键词：
Nonlinear state estimation; Parameter identification; Set-based computing; Constrained zonotopes; SYSTEMS;
D O I：
10.1016/j.automatica.2022.110425
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 note presents a new method for set-based joint state and parameter estimation of discrete-time systems using constrained zonotopes. This is done by extending previous set-based state estimation methods to include parameter identification in a unified framework. Unlike in interval-based methods, the existing dependencies between states and model parameters are maintained from one time step to the next, thus providing a more accurate estimation scheme. In addition, the enclosure of states and parameters is refined using measurements through generalized intersections, which are properly captured by constrained zonotopes. The advantages of the new approach are highlighted in two numerical examples. (C) 2022 Elsevier Ltd. All rights reserved.
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页数：5
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