A finite element based method for identification of switched linear systems

Mohammad Gorji Sefidmazgi, Mina Moradi Kordmahalleh, Abdollah Homaifar, Ali Karimoddini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Non-stationary time series analysis is important in the study of complex systems. Finding mathematical models for such complex systems with transitions between different phases is an ill-posed problem. This paper brings the problem of time series analysis into the context of hybrid modeling. Approximating the hybrid system by a switched linear system, the problem is reduced to identifying the switching times and model parameters. To address this problem, the non-stationary time series clustering technique based on Finite Elements is used for modeling of switched linear systems. The advantage of this method is that it is not necessary to add restrictive statistical assumptions on system variables. Illustrative examples have been provided to verify the proposed algorithm.

Original languageEnglish
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2644-2649
Number of pages6
ISBN (Print)9781479932726
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: Jun 4 2014Jun 6 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2014 American Control Conference, ACC 2014
Country/TerritoryUnited States
CityPortland, OR
Period06/4/1406/6/14

Keywords

  • Computational methods
  • Modeling and simulation
  • Switched systems

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