Sabit Parcali ve Anahtarlamali Dogrusal ve Periyodik Zamanli Sistemlerin Tanilamasi

Translated title of the contribution: Identication of Piecewise Constant Switching Linear Time-Periodic Systems

Ismail Uyanik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper focuses on state-space identication for piecewise constant switching linear time-periodic (LTP) systems in the frequency domain. The proposed technique assumes full state measurement and known (or measurable) scheduling signals. In the case of linear time-invariant (LTI) systems, the statespace identication problem has been well studied and there are various techniques that work accurately in time and frequency domain. However, there are still many open issues in the statespace identication of LTP systems. In this paper, we specically focus on the family of LTP systems, which consist of a nite set of constant subsystems triggered by periodic scheduling signals. Although, this is a subset of the general family of LTP systems, here we explicitly model the availability of known periodic scheduling signal in the identication methodology. This greatly reduces the complexity of the estimated state-space models and potentially increases the system identication accuracy. We present a numerical example to demonstrate the efciency of our algorithm.

Translated title of the contributionIdentication of Piecewise Constant Switching Linear Time-Periodic Systems
Original languageUndefined/Unknown
Title of host publication2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172064
DOIs
StatePublished - Oct 5 2020
Externally publishedYes
Event28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey
Duration: Oct 5 2020Oct 7 2020

Publication series

Name2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

Conference

Conference28th Signal Processing and Communications Applications Conference, SIU 2020
CountryTurkey
CityGaziantep
Period10/5/2010/7/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

Keywords

  • linear time-periodic systems
  • subspace identication
  • system identication

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