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이동 구간 제어기의 최근 기술 동향 : Recent Trends in Receding Horizon Control

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dc.contributor.author권욱현-
dc.contributor.author한수희-
dc.date.accessioned2022-10-14T06:16:00Z-
dc.date.available2022-10-14T06:16:00Z-
dc.date.created2022-09-01-
dc.date.issued2014-01-
dc.identifier.citation제어.로봇.시스템학회 논문지, Vol.20 No.3, pp.235-244-
dc.identifier.issn1976-5622-
dc.identifier.urihttps://hdl.handle.net/10371/186074-
dc.description.abstractThis article introduces recent trends in RHC (Receding Horizon Control), also known as MPC (Model Predictive Control), that has been well recognized in industry and academy as a systematic approach for optimal design and constraint management. Constrained and robust RHCs will be briefly reviewed with milestone results. Among the diverse developments and achievements of RHCs, implementation issues will be focused on, together with the latest applications. In particular, this article introduces results on how to solve a finite horizon open-loop optimal control problem in an efficient way, together with code generation for real-time execution and easy implementation. Instead of traditional applications such as refineries and petrochemical plants, this article highlights some selected emerging applications, such as energy management systems and mechatronics, that have resulted from state-of-the-art high performance computing power and advanced numerical schemes.-
dc.language한국어-
dc.publisher제어·로봇·시스템학회-
dc.title이동 구간 제어기의 최근 기술 동향-
dc.title.alternativeRecent Trends in Receding Horizon Control-
dc.typeArticle-
dc.citation.journaltitle제어.로봇.시스템학회 논문지-
dc.identifier.scopusid2-s2.0-84897373385-
dc.citation.endpage244-
dc.citation.number3-
dc.citation.startpage235-
dc.citation.volume20-
dc.identifier.kciidART001856821-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthor권욱현-
dc.description.journalClass1-
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