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State Observation of LTV Systems with ...
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Document type :
Article dans une revue scientifique
DOI :
10.1016/j.automatica.2021.109674
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] refId
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. ...
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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
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