Model reduction of uncertain interval systems using genetic algorithms

Chen Chien Hsu, Chih Hua Yu

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

A GA-based approach is presented to derive a reduced model for a high-order interval system. To search for the optimal reduced model, we construct an aggregated error of the Bode envelopes between the original and reduced systems, subsequently minimized by a genetic algorithm. Impulse response energy of the interval systems is obtained to evaluate the performance of the reduced models.

Original languageEnglish
Pages251-254
Number of pages4
Publication statusPublished - 2004 Dec 1
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6

Other

OtherSICE Annual Conference 2004
CountryJapan
CitySapporo
Period04/8/404/8/6

Keywords

  • Bode envelope
  • Genetic algorithms
  • Interval systems
  • Model reduction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Hsu, C. C., & Yu, C. H. (2004). Model reduction of uncertain interval systems using genetic algorithms. 251-254. Paper presented at SICE Annual Conference 2004, Sapporo, Japan.