Intelligent control: aspects of fuzzy logic and neural nets

With increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty. Intelligent Control or self-...

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Detalles Bibliográficos
Autores principales: Harris, C J, Moore, CG, Brown, M
Lenguaje:eng
Publicado: World Scientific 1993
Materias:
Engineering
Acceso en línea:http://cds.cern.ch/record/1619632
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author Harris, C J
Moore, CG
Brown, M
author_facet Harris, C J
Moore, CG
Brown, M
author_sort Harris, C J
collection CERN
description With increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty. Intelligent Control or self-organising/learning control is a new emerging discipline that is designed to deal with problems. Rather than being model based, it is experiential based. Intelligent Control is the amalgam of the disciplines of Artificial Intelligence, Systems Theory and Operations Research. It uses most recent expe
id cern-1619632
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1993
publisher World Scientific
record_format invenio
spelling cern-16196322021-04-21T21:55:30Zhttp://cds.cern.ch/record/1619632engHarris, C JMoore, CGBrown, MIntelligent control: aspects of fuzzy logic and neural netsEngineeringWith increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty. Intelligent Control or self-organising/learning control is a new emerging discipline that is designed to deal with problems. Rather than being model based, it is experiential based. Intelligent Control is the amalgam of the disciplines of Artificial Intelligence, Systems Theory and Operations Research. It uses most recent expeWorld Scientificoai:cds.cern.ch:16196321993
spellingShingle Engineering
Harris, C J
Moore, CG
Brown, M
Intelligent control: aspects of fuzzy logic and neural nets
title Intelligent control: aspects of fuzzy logic and neural nets
title_full Intelligent control: aspects of fuzzy logic and neural nets
title_fullStr Intelligent control: aspects of fuzzy logic and neural nets
title_full_unstemmed Intelligent control: aspects of fuzzy logic and neural nets
title_short Intelligent control: aspects of fuzzy logic and neural nets
title_sort intelligent control: aspects of fuzzy logic and neural nets
topic Engineering
url http://cds.cern.ch/record/1619632
work_keys_str_mv AT harriscj intelligentcontrolaspectsoffuzzylogicandneuralnets
AT moorecg intelligentcontrolaspectsoffuzzylogicandneuralnets
AT brownm intelligentcontrolaspectsoffuzzylogicandneuralnets

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