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dc.contributor.author정정주-
dc.date.accessioned2019-10-22T05:31:39Z-
dc.date.available2019-10-22T05:31:39Z-
dc.date.issued2019-05-
dc.identifier.citation제어로봇시스템학회 국내학술대회 논문집, 2019.5, Page. 353-354en_US
dc.identifier.urihttp://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE08739624-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/111347-
dc.description.abstractModel predictive control(MPC) is a control technique that minimizes the cost function with constraints. But, MPC needs a lot of computation time, as a result, we cannot easily implement the algorithm in real-time. In this paper, we discuss explicit MPC. The explicit MPC can overcome the shortcoming like computation time. At the same time, we can obtain the analogous performance of MPC. The algorithm of explicit MPC was validated with a simple system, and we observed the computation time was decreased.en_US
dc.description.sponsorship본 연구는 2019 년도 산업통상자원부 및 산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임(‘10076707’,’10082585’)en_US
dc.language.isoko_KRen_US
dc.publisher제어로봇시스템학회en_US
dc.subject모델 예측 제어en_US
dc.subject실시간 최적 제어en_US
dc.subject계산 시간en_US
dc.subjectModel Predictive Controlen_US
dc.subjectReal Time Optimal Controlen_US
dc.subjectComputation Timeen_US
dc.titleAffine Function 을 이용한 Approximate Explicit MPC 설계en_US
dc.title.alternativeDesign of Approximate Explicit Model Predictive Controller with Affine Functionen_US
dc.typeArticleen_US
dc.relation.page353-354-
dc.contributor.googleauthor김진성-
dc.contributor.googleauthor이승희-
dc.contributor.googleauthor정정주-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidcchung-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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