Publications-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

  • No data in Web of Science(Wrong one)
    No data in Scopus

Related Publications in TAIR

TitleOutput-regulated optimal grey controller
CreatorHuang, T. L.;Liu, C.W.;Chang, C. H.;Huang, C. C.;Chen, C. R.;Lien, Y. N.;Hwang, T. Y.;Sheu, J. S.;Wang, T. C.
連耀南
Contributor資科系
Key WordsOptimal reduced order model; grey prediction
Date2010
Date Issued21-Dec-2015 16:02:06 (UTC+8)
SummaryIn this paper, we propose a new method to design a grey prediction system controller using output feedback. The optimal reduced order model will be used to retain the physical meaning of the output states. By using only the output states feedback, the control strategy can be implemented easily. The grey prediction method adopts the forecasting information from the output state variables to control system behavior. As a result, it reduces the oscillation and enhances the dynamic stability of the system. The advantages of the proposed method are verified through a detailed simulation of a multi-machine power system.
RelationJournal of Information and Optimization Sciences, 31(2), 489-498
Typearticle
DOI http://dx.doi.org/10.1080/02522667.2010.10699975
dc.contributor 資科系
dc.creator (作者) Huang, T. L.;Liu, C.W.;Chang, C. H.;Huang, C. C.;Chen, C. R.;Lien, Y. N.;Hwang, T. Y.;Sheu, J. S.;Wang, T. C.
dc.creator (作者) 連耀南zh_TW
dc.date (日期) 2010
dc.date.accessioned 21-Dec-2015 16:02:06 (UTC+8)-
dc.date.available 21-Dec-2015 16:02:06 (UTC+8)-
dc.date.issued (上傳時間) 21-Dec-2015 16:02:06 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/79696-
dc.description.abstract (摘要) In this paper, we propose a new method to design a grey prediction system controller using output feedback. The optimal reduced order model will be used to retain the physical meaning of the output states. By using only the output states feedback, the control strategy can be implemented easily. The grey prediction method adopts the forecasting information from the output state variables to control system behavior. As a result, it reduces the oscillation and enhances the dynamic stability of the system. The advantages of the proposed method are verified through a detailed simulation of a multi-machine power system.
dc.format.extent 129 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Information and Optimization Sciences, 31(2), 489-498
dc.subject (關鍵詞) Optimal reduced order model; grey prediction
dc.title (題名) Output-regulated optimal grey controller
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/02522667.2010.10699975
dc.doi.uri (DOI) http://dx.doi.org/10.1080/02522667.2010.10699975