Non-linear model reduction by genetic algorithms with using a system structure related fitness function

Maik Buttelmann, Boris Lohmann

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

5 Scopus citations

Abstract

Based on a known order reduction method for non-linear systems a solution is proposed to reduce the high system complexity of the order-reduced system, too. For this, suitable secondary conditions for the order reduction method are defined with the help of a genetic algorithm (GA). For the use of GA it is essential that the fitness function fulfils some 'smoothness' or 'small causes, small effects' properties. This is investigated for a system structure related fitness function and an example with technical background is given.

Original languageEnglish
Title of host publication2001 European Control Conference, ECC 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1870-1875
Number of pages6
ISBN (Electronic)9783952417362
DOIs
StatePublished - 2001
Externally publishedYes
Event6th European Control Conference, ECC 2001 - Porto, Portugal
Duration: 4 Sep 20017 Sep 2001

Publication series

Name2001 European Control Conference, ECC 2001

Conference

Conference6th European Control Conference, ECC 2001
Country/TerritoryPortugal
CityPorto
Period4/09/017/09/01

Keywords

  • Fitness Landscape
  • Genetic Algorithm
  • Model Simplification
  • Order Reduction
  • Structure of Non-linear Systems

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