A Recursive System Identification Method Based on Binary Measurements - CentraleSupélec Access content directly
Conference Papers Year : 2010

A Recursive System Identification Method Based on Binary Measurements

Abstract

An online approach to parameter estimation problems based on binary observations is presented in this paper. This recursive identification method relies on a least-mean squares approach which makes it possible to estimate the coefficients of a finite-impulse response system knowing only the system input and the sign of the system output. The impulse response is identified up to a positive multiplicative constant. The role of the regulative coefficient is investigated thanks to simulated data. The proposed method is compared with another online approach: it is shown that the proposed method is competitive with the other one in terms of estimation quality and of calculation complexity.
Fichier principal
Vignette du fichier
CDC2010CameraReady.pdf (139.98 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00551800 , version 1 (04-01-2011)

Identifiers

  • HAL Id : hal-00551800 , version 1

Cite

Kian Jafaridinani, Jérôme Juillard, Eric Colinet. A Recursive System Identification Method Based on Binary Measurements. 49th IEEE Conference on Decision and Control (CDC'10), Dec 2010, Atlanta, United States. pp.1167-1171. ⟨hal-00551800⟩
316 View
308 Download

Share

Gmail Facebook X LinkedIn More