Model reduction of uncertain discrete systems having interval uncertainties using genetic algorithms

Chen-Chien James Hsu, Tsung Chi Lu, Shih Chi Chang

Research output: Contribution to conferencePaper

Abstract

In this paper, an evolutionary approach is proposed to obtain a reduced-order discrete interval model for uncertain discrete-time systems having interval uncertainties based on resemblance of discrete sequence energy between the original and reduced systems. System performance of the discrete interval model obtained by using the proposed evolutionary approach is then verified based on time responses of the resulting model in comparison to existing methods to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages1440-1444
Number of pages5
Publication statusPublished - 2005 Dec 1
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: 2005 Aug 82005 Aug 10

Other

OtherSICE Annual Conference 2005
CountryJapan
CityOkayama
Period05/8/805/8/10

Keywords

  • Discrete sequence energy
  • Discrete-time systems
  • Genetic algorithms
  • Interval plant
  • Model reduction
  • Uncertain systems

ASJC Scopus subject areas

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

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  • Cite this

    Hsu, C-C. J., Lu, T. C., & Chang, S. C. (2005). Model reduction of uncertain discrete systems having interval uncertainties using genetic algorithms. 1440-1444. Paper presented at SICE Annual Conference 2005, Okayama, Japan.