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Closed-loop system identification using quantized observations and integrated bispectra

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

2 Citations (Scopus)

Abstract

The aim of this paper is to present a novel approach to closed-loop discrete-time system frequency response and the corresponding parametric model identification using repeated discrete-time non- Gaussian excitation and quantized plant output observartions. The specially designed identification experiment based on data averaging is proposed to reduce the quantization effect and enhance signal-to-noise ratio. The integrated bispectra-based identification method is proposed to handle with closed-loop system identification problems. 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 discussion is illustrated by an example showing properties of the presented approach.

Original languageEnglish
Title of host publicationAdvances in Systems Science - Proceedings of the International Conference on Systems Science, ICSS 2013
EditorsJerzy Świątek, Adam Grzech, Paweł Świątek, Jakub M. Tomczak, Jerzy Świątek
PublisherSpringer Verlag
Pages775-784
Number of pages10
ISBN (Electronic)9783319018560
DOIs
Publication statusPublished - 2014
EventInternational Conference on Systems Science, ICSS 2013 - Wroclaw, Poland
Duration: 10 Sept 2013 → 12 Sept 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume240
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Systems Science, ICSS 2013
Country/TerritoryPoland
CityWroclaw
Period10/09/13 → 12/09/13

Keywords

  • Closed-loop identification
  • Higher order spectra
  • Identification experiment
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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