Evolved Finite State Controller For Hybrid System

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2009

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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
StatePublished - 2009
EventWorld Summit on Genetic and Evolutionary Computation - Shanghai, China
Duration: 12 Jun 200914 Jun 2009

Conference

ConferenceWorld Summit on Genetic and Evolutionary Computation
CountryChina
CityShanghai
Period12/06/200914/06/2009
CitationsWeb of Science® Times Cited: No match on DOI
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