Real-time algorithm for self-reflective model predictive control
Feng, Xuhui1,2; Houska, Boris1
2018-05
Source PublicationJOURNAL OF PROCESS CONTROL
ISSN0959-1524
Volume65Pages:68-77
Status已发表
DOI10.1016/j.jprocont.2017.10.003
AbstractThis paper is about a real-time model predictive control (MPC) algorithm for a particular class of model based controllers, whose objective consists of a nominal tracking objective and an additional learning objective. Here, the construction of the learning term is based on an economic optimal experiment design criterion. It is added to the MPC objective in order to excite the system on purpose thereby improving the accuracy of the state and parameter estimates in the presence of incomplete or noise affected measurements. The focus of this paper is on so-called self-reflective model predictive control schemes, which have the property that the additional learning term can be interpreted as the expected loss of optimality of the controller in the presence of random measurement errors. The main contribution is a formulation tailored algorithm, which exploits the particular structure of self-reflective MPC problems in order to speed-up the online computation. It is shown that the proposed algorithm can solve the self-reflective optimization problems with reasonable additional computational effort and in real-time. (C) 2017 Elsevier Ltd. All rights reserved.
KeywordOptimal control Optimal experiment design Model predictive control
Indexed BySCI
Language英语
Funding ProjectShanghaiTech University[F-0203-14-012]
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Chemical
WOS IDWOS:000430900700006
PublisherELSEVIER SCI LTD
WOS KeywordOPTIMAL EXPERIMENT DESIGN ; NONLINEAR MPC ; DUAL CONTROL ; OPTIMIZATION ; IDENTIFICATION ; EQUATIONS
Original Document TypeArticle
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttps://kms.shanghaitech.edu.cn/handle/2MSLDSTB/20873
Collection信息科学与技术学院
信息科学与技术学院_PI研究组_Boris Houska组
信息科学与技术学院_博士生
Corresponding AuthorHouska, Boris
Affiliation1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
2.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Beijing, Peoples R China
First Author AffilicationSchool of Information Science and Technology
Corresponding Author AffilicationSchool of Information Science and Technology
First Signature AffilicationSchool of Information Science and Technology
Recommended Citation
GB/T 7714
Feng, Xuhui,Houska, Boris. Real-time algorithm for self-reflective model predictive control[J]. JOURNAL OF PROCESS CONTROL,2018,65:68-77.
APA Feng, Xuhui,&Houska, Boris.(2018).Real-time algorithm for self-reflective model predictive control.JOURNAL OF PROCESS CONTROL,65,68-77.
MLA Feng, Xuhui,et al."Real-time algorithm for self-reflective model predictive control".JOURNAL OF PROCESS CONTROL 65(2018):68-77.
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