Model reduction of uncertain interval systems using genetic algorithms

Chen Chien Hsu*, Chih Hua Yu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)


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
Number of pages4
Publication statusPublished - 2004
Externally publishedYes
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6


OtherSICE Annual Conference 2004


  • 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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