Adaptive Quantization: a comparative study - Archive ouverte HAL Accéder directement au contenu
Rapport (Rapport De Recherche) Année : 2008

Adaptive Quantization: a comparative study

Résumé

This paper investigates the comparison of two adaptive quantization algorithms for linear systems in the context of NCS(Networked Controlled Systems). The first algorithm that we call ZIZO(Zoom In Zoom Out) is due to Sharon and Liberzon and the second one that we call D-ZIZO. We show that D-ZIZO generates a smoother quantization noise than ZIZO algorithm and that D-ZIZO allows a faster convergence for same given properties. Moreover in the multivariable case, D-ZIZO allows us to use the smallest number of quantization bits in order to achieve stability.
Fichier principal
Vignette du fichier
papierecc09.pdf (168.23 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00368337 , version 1 (16-03-2009)

Identifiants

  • HAL Id : hal-00368337 , version 1

Citer

Jonathan Jaglin, Carlos Canudas de Wit, Cyrille Siclet. Adaptive Quantization: a comparative study. [Research Report] GIPSA-lab. 2008. ⟨hal-00368337⟩
260 Consultations
183 Téléchargements

Partager

Gmail Facebook X LinkedIn More