Identifiability and algebraic identification ...
Document type :
Communication dans un congrès avec actes
Title :
Identifiability and algebraic identification of time delay systems
Author(s) :
Belkoura, Lotfi [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]

Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Conference title :
Ifac Workshop on Time delay Systems
City :
Prague
Country :
République tchèque
Start date of the conference :
2010
Publication date :
2010
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
Identifiability and algebraic identification of time delay systems are investigated in this paper. Identifiability results are first presented for linear delay systems described by convolution equations. On-line algorithms ...
Show more >Identifiability and algebraic identification of time delay systems are investigated in this paper. Identifiability results are first presented for linear delay systems described by convolution equations. On-line algorithms are next proposed for both parameters and delay estimation. Based on a distributional technique, these algorithms enable an algebraic and simultaneous estimation by solving a generalized eigenvalue problem. Simulation studies with noisy data and experimental results show the performance of the proposed approach.Show less >
Show more >Identifiability and algebraic identification of time delay systems are investigated in this paper. Identifiability results are first presented for linear delay systems described by convolution equations. On-line algorithms are next proposed for both parameters and delay estimation. Based on a distributional technique, these algorithms enable an algebraic and simultaneous estimation by solving a generalized eigenvalue problem. Simulation studies with noisy data and experimental results show the performance of the proposed approach.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Files
- https://hal.inria.fr/inria-00504943/document
- Open access
- Access the document
- https://hal.inria.fr/inria-00504943/document
- Open access
- Access the document
- https://hal.inria.fr/inria-00504943/document
- Open access
- Access the document