Titre :

State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach with Fixed Convergence Time

Auteur(s) :

Bobtsov, Alexey [Auteur]
Hangzhou Dianzi University [HDU]
ITMO University [Russia]
Nikolaev, Nikolay [Auteur correspondant]
ITMO University [Russia]
Ortega, Romeo [Auteur]
ITMO University [Russia]
Instituto Tecnológico Autónomo de México [ITAM]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]

Titre de la revue :

Automatica

Éditeur :

Elsevier

Date de publication :

2021-09

ISSN :

0005-1098

Mot(s)-clé(s) en anglais :

Linear time-varying systems
state observer
delay systems
parameter estimation

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique

Résumé en anglais : [en]

In this paper we address the problem of state observation of linear time-varying (LTV) systems with delayed measurements, which has attracted the attention of many researchers—see Sanz et al. (2019) and references therein. ...
Lire la suite >In this paper we address the problem of state observation of linear time-varying (LTV) systems with delayed measurements, which has attracted the attention of many researchers—see Sanz et al. (2019) and references therein. We show that, the parameter estimation-based observer (PEBO) design proposed in Ortega et al., 2021, Ortega et al., 2015 provides a very simple solution to the problem with reduced prior knowledge. Moreover, when PEBO is combined with the dynamic regressor extension and mixing (DREM) estimation technique (Aranovskiy et al., 2017, Ortega et al., 2019), the estimated state converges in fixed-time with extremely weak excitation assumptions.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL