A quadratic programming-based method for quantized system identification - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

A quadratic programming-based method for quantized system identification

Résumé

This paper proposes a quadratic programming (QP)-based method, for linear dynamic system identification from quantized data or binary measurements. The main idea of the proposed method is to reformulate the identification problem for finite impulse (FIR) systems, usually viewed as a nonlinear estimation problem with discontinuous nonlinearities, in the form of a standard QP problem, which is a convex optimization problem and can be solved efficiently. The QP-based method is equally applicable to both quantized data and binary measurements without any modification. It has no special assumptions on the identification experiments. An iterative QP-based method is also developed for the identification of infinite impulse response (IIR) systems. Numerical examples demonstrate the effectiveness of the proposed method.

Domaines

Automatique

Dates et versions

hal-00777409 , version 1 (17-01-2013)

Identifiants

Citer

Xian'En Liu, Jiandong Wang, Qinghua Zhang. A quadratic programming-based method for quantized system identification. 18th IFAC World Congress, Aug 2011, Milano, Italy. pp.9052-9057, ⟨10.3182/20110828-6-IT-1002.01560⟩. ⟨hal-00777409⟩

Collections

INRIA INRIA2
93 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More