• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

State-Dependent Sampling for Linear Time ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Communication dans un congrès avec actes
Title :
State-Dependent Sampling for Linear Time Invariant Systems: A Discrete Time Analysis
Author(s) :
Maalej, Sonia [Auteur correspondant]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Fiter, Christophe [Auteur] refId
Systèmes Non Linéaires et à Retards [SyNeR]
HETEL, Laurentiu [Auteur] refId
Systèmes Non Linéaires et à Retards [SyNeR]
Richard, Jean-Pierre [Auteur]
Centrale Lille
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Conference title :
20th Mediterranean Conference on Control & Automation (MED)
City :
Barcelone
Country :
Espagne
Start date of the conference :
2012-07-03
Publication date :
2012-07-03
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This work concerns the adaptation of sampling times for Linear Time Invariant (LTI) systems controlled by state feedback. Complementary to various works that guarantee stabilization independently of changes in the sampling ...
Show more >
This work concerns the adaptation of sampling times for Linear Time Invariant (LTI) systems controlled by state feedback. Complementary to various works that guarantee stabilization independently of changes in the sampling rate, here we provide conditions to design stabilizing sequences of sampling instants. In order to reduce the number of these sampling instants, a dynamic scheduling algorithmoptimizes, over a given sampling horizon, a sampling sequence depending on the system state value. Our proofs are inspired on switched system techniques combining Lyapunov functions and LMI optimization. To show the applicability of the technique, theoretical study is illustrated by an implementation in Matlab/ TRUE TIME.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
Files
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-00733212/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-00733212/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-00733212/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-00733212/document
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017