Evolved Finite State Controller For Hybrid System

Jean-Francois Dupuis, Zhun Fan, Erik Goodman

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This paper presents an evolutionary methodology to automatically generate nite state automata (FSA) controllers to control hybrid systems. FSA controllers for a case study of two-tank system have been successfully obtained using the proposed evolutionary approach. Experimental results show that these controllers have good performance on the set of training targets as well as on a randomly generated set of validation targets.
    Original languageEnglish
    Title of host publication2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - Proceedings of the 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09
    PublisherAssociation for Computing Machinery
    Publication date2009
    Pages105-111
    ISBN (Print)9781605583266
    DOIs
    Publication statusPublished - 2009
    Event2009 World Summit on Genetic and Evolutionary Computation - Shanghai, China
    Duration: 12 Jun 200914 Jun 2009
    http://www.sigevo.org/gec-summit-2009/

    Conference

    Conference2009 World Summit on Genetic and Evolutionary Computation
    CountryChina
    CityShanghai
    Period12/06/200914/06/2009
    Internet address

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