DC Field | Value | Language |
---|---|---|
dc.contributor.author | PARK, S | ko |
dc.contributor.author | PARK, LJ | ko |
dc.contributor.author | Park, Cheol Hoon | ko |
dc.date.accessioned | 2013-02-27T10:04:22Z | - |
dc.date.available | 2013-02-27T10:04:22Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1995-09 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON NEURAL NETWORKS, v.6, no.5, pp.1297 - 1300 | - |
dc.identifier.issn | 1045-9227 | - |
dc.identifier.uri | http://hdl.handle.net/10203/67881 | - |
dc.description.abstract | This paper investigates a neuro-controller for nonminimum phase systems which is trained off-line with genetic algorithm (GA) and is combined in parallel with a conventional linear controller of proportional plus integral plus derivative (PID) type. Training of this kind of a neurogenetic controller provides a solution under a given global evaluation I function, which is devised based on the desired control performance during the whole training time interval. Empirical simulation results illustrate the efficacy of the proposed controller compared with a conventional linear controller in point of learning capability of adaptation and improvement of performances of a step response like fast settling time, small undershoot, and small overshoot. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A NEURO-GENETIC CONTROLLER FOR NONMINIMUM-PHASE SYSTEMS | - |
dc.type | Article | - |
dc.identifier.wosid | A1995RT52300031 | - |
dc.type.rims | ART | - |
dc.citation.volume | 6 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 1297 | - |
dc.citation.endingpage | 1300 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON NEURAL NETWORKS | - |
dc.contributor.localauthor | Park, Cheol Hoon | - |
dc.contributor.nonIdAuthor | PARK, S | - |
dc.contributor.nonIdAuthor | PARK, LJ | - |
dc.type.journalArticle | Letter | - |
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