An adaptive observer for uncertain linear time-varying systems with unknown additive perturbations

被引：12
|
作者：
Pyrkin, Anton [1 ,2 ]
Bobtsov, Alexey [2 ]
Ortega, Romeo [2 ,3 ]
Isidori, Alberto [4 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Automat, Xiasha Higher Educ Zone, Hangzhou, Zhejiang, Peoples R China
[2] ITMO Univ, Fac Control Syst & Robot, St Petersburg, Russia
[3] ITAM, Dept Academ Sistemas Digitales, Ciudad De Mexico, Mexico
[4] Univ Roma La Sapienza, Dept Comp & Syst Sci A Ruberti, Rome, Italy
来源：
AUTOMATICA | 2023年 / 147卷
基金：
俄罗斯科学基金会;
关键词：
Adaptive state observers; Disturbance cancellation; Linear time-varying systems; OUTPUT; STATE;
D O I：
10.1016/j.automatica.2022.110677
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 paper we are interested in the problem of adaptive state observation of linear time-varying (LTV) systems where the system and the input matrices depend on unknown time-varying parameters. It is assumed that these parameters satisfy some known LTV dynamics, but with unknown initial conditions. Moreover, the state equation is perturbed by an additive signal generated from an exosystem with uncertain constant parameters. Our main contribution is to propose a globally convergent state observer that requires only a weak excitation assumption on the system, which is satisfied in the present context of regulation.(c) 2022 Elsevier Ltd. All rights reserved.
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页数：12
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