Title :

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

Author(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]

Journal title :

Automatica

Publisher :

Elsevier

Publication date :

2021-09

ISSN :

0005-1098

English keyword(s) :

Linear time-varying systems
state observer
delay systems
parameter estimation

HAL domain(s) :

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

English abstract : [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. ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL