Evolved finite state controller for hybrid system in reduced search space

Jean-Francois Dupuis, Zhun Fan

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    Abstract

    This paper presents an evolutionary methodology to automatically generate finite state automata (FSA) controllers to control hybrid systems. The proposed approach reduces the search space using an invariant analysis of the system. 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 publicationIEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009. AIM 2009.
    PublisherIEEE
    Publication date2009
    ISBN (Print)978-1-4244-2852-6
    DOIs
    Publication statusPublished - 2009
    EventIEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009. - Singapore
    Duration: 1 Jan 2009 → …

    Conference

    ConferenceIEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009.
    CitySingapore
    Period01/01/2009 → …

    Bibliographical note

    Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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