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전기 구동 조향 장치의 추종 제어 성능 향상을 위한 Deep Neural Network 설계

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dc.contributor.author김진성-
dc.contributor.author정용우-
dc.contributor.author이승희-
dc.contributor.author정정주-
dc.date.accessioned2021-08-10T01:15:07Z-
dc.date.available2021-08-10T01:15:07Z-
dc.date.created2021-08-10-
dc.date.issued2018-05-18-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/87564-
dc.language한국어-
dc.language.isoko-
dc.publisher제어로봇시스템학회-
dc.title전기 구동 조향 장치의 추종 제어 성능 향상을 위한 Deep Neural Network 설계-
dc.title.alternativeDesign of Deep Neural Network for Improved Tracking Control Performance of Electric Power Steering System-
dc.typeConference-
dc.contributor.affiliatedAuthor정정주-
dc.identifier.bibliographicCitation2018 제33회 제어·로봇·시스템학회 학술대회 (ICROS 2018), pp.383 - 384-
dc.relation.isPartOf2018 제33회 제어·로봇·시스템학회 학술대회 (ICROS 2018)-
dc.relation.isPartOf2018 제33회 제어로봇시스템학회 학술대회-
dc.citation.title2018 제33회 제어·로봇·시스템학회 학술대회 (ICROS 2018)-
dc.citation.startPage383-
dc.citation.endPage384-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace대명 변산리조트 로비층(B1) 앙금-
dc.citation.conferenceDate2018-05-17-
dc.type.rimsCONF-
dc.description.journalClass2-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07449993-
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서울 공과대학 > 서울 전기공학전공 > 2. Conference Papers

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