Comparison of stability characterisations ...
Document type :
Communication dans un congrès avec actes
Title :
Comparison of stability characterisations for networked control systems
Author(s) :
Hetel, Laurentiu [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Cloosterman, Marieke [Auteur]
van de Wouw, Nathan [Auteur]
Heemels, Maurice [Auteur]
Daafouz, Jamal [Auteur]
Centre de Recherche en Automatique de Nancy [CRAN]
Nijmeijer, Henk [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Cloosterman, Marieke [Auteur]
van de Wouw, Nathan [Auteur]
Heemels, Maurice [Auteur]
Daafouz, Jamal [Auteur]
Centre de Recherche en Automatique de Nancy [CRAN]
Nijmeijer, Henk [Auteur]
Conference title :
48th IEEE Conference on Decision and Control, CDC'09
City :
Shanghai
Country :
Chine
Start date of the conference :
2009-12-16
Book title :
48th IEEE Conference on Decision and Control, CDC'09
Publication date :
2009-12-16
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This paper presents LMI conditions for stability analysis for networked control systems (NCSs) that incorporates various network phenomena: time-varying sampling intervals, packet dropouts and time-varying delays that may ...
Show more >This paper presents LMI conditions for stability analysis for networked control systems (NCSs) that incorporates various network phenomena: time-varying sampling intervals, packet dropouts and time-varying delays that may be both smaller and larger than the sampling interval. The problem is approached from a discrete-time modelling perspective. A comparison is made between the use of Parameter Dependent Lyapunov functions and Lyapunov-Krasovskii functions for stability analysis. Examples illustrate the developed theory.Show less >
Show more >This paper presents LMI conditions for stability analysis for networked control systems (NCSs) that incorporates various network phenomena: time-varying sampling intervals, packet dropouts and time-varying delays that may be both smaller and larger than the sampling interval. The problem is approached from a discrete-time modelling perspective. A comparison is made between the use of Parameter Dependent Lyapunov functions and Lyapunov-Krasovskii functions for stability analysis. Examples illustrate the developed theory.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :