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Model identification using quantized data - A disturbance-free case

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

In the paper an approach to discrete-time frequency response as well as the corresponding parametric model identification using deterministic discrete-time multisine excitations and quantized plant output is presented. A focus on model identification in the case of disturbance-free plant output and output signal level comparable with data acquisition system accuracy is given. Convergence of the identified model to true plant is discussed. The presented discussion is illustrated by an example showing properties of the presented approach.

Original languageEnglish
Title of host publication2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012
Pages240-243
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012 - Miedzyzdroje, Poland
Duration: 27 Aug 2012 → 30 Aug 2012

Publication series

Name2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012

Conference

Conference2012 17th International Conference on Methods and Models in Automation and Robotics, MMAR 2012
Country/TerritoryPoland
CityMiedzyzdroje
Period27/08/12 → 30/08/12

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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