Title :

A State Dependent Sampling for Linear State Feedback

Author(s) :

Fiter, Christophe [Auteur correspondant]
Systèmes Non Linéaires et à Retards [SyNeR]
Hetel, Laurentiu [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Perruquetti, Wilfrid [Auteur]
Centrale Lille
Non-Asymptotic estimation for online systems [NON-A]
Systèmes Non Linéaires et à Retards [SyNeR]
Richard, Jean-Pierre [Auteur]
Centrale Lille
Non-Asymptotic estimation for online systems [NON-A]
Systèmes Non Linéaires et à Retards [SyNeR]

Journal title :

Automatica

Pages :

1860-1867

Publisher :

Elsevier

Publication date :

2012-08-01

ISSN :

0005-1098

English keyword(s) :

self-triggered control
Lyapunov-Razumikhin
linear matrix inequality
convex polytope
exponential stability
networked/embedded control systems
state dependent sampling

HAL domain(s) :

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

English abstract : [en]

In this work, a new state-dependent sampling control enlarges the sampling intervals of state feedback control. We consider the case of linear time invariant systems and guarantee the exponential stability of the system ...
Show more >In this work, a new state-dependent sampling control enlarges the sampling intervals of state feedback control. We consider the case of linear time invariant systems and guarantee the exponential stability of the system origin for a chosen decay rate. The approach is based on LMIs obtained thanks to sufficient Lyapunov-Razumikhin stability conditions and follows two steps. In the first step, we compute a Lyapunov-Razumikhin function that guarantees exponential stability for all time-varying sampling intervals up to some given bound. This value can be used as a lower-bound of the state-dependent sampling function. In a second step, an off-line computation provides a mapping from the state-space into the set of sampling intervals: the state is divided into a finite number of regions, and to each of these regions is associated an allowable upper-bound of the sampling intervals that will guarantee the global (exponential or asymptotic) stability of the system. The results are based on sufficient conditions obtained using convex polytopes. Therefore, they involve some conservatism with respect to necessary and sufficient conditions. However, at each of the two steps, an optimization on the sampling upper-bounds is proposed. The approach is illustrated with numerical examples from the literature for which the number of actuations is shown to be reduced with respect to the periodic sampling case.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

European Project :

Highly-complex and networked control systems

Collections :

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

Source :

Harvested from HAL