Real-time algorithm for self-reflective model predictive control
2018-05
发表期刊JOURNAL OF PROCESS CONTROL
ISSN0959-1524
卷号65页码:68-77
发表状态已发表
DOI10.1016/j.jprocont.2017.10.003
摘要This 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.
关键词Optimal control Optimal experiment design Model predictive control
收录类别SCI ; SCIE ; EI
语种英语
资助项目ShanghaiTech University[F-0203-14-012]
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Chemical
WOS记录号WOS:000430900700006
出版者ELSEVIER SCI LTD
WOS关键词OPTIMAL EXPERIMENT DESIGN ; NONLINEAR MPC ; DUAL CONTROL ; OPTIMIZATION ; IDENTIFICATION ; EQUATIONS
原始文献类型Article
引用统计
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/20873
专题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
通讯作者Houska, Boris
作者单位
1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
2.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Beijing, Peoples R China
第一作者单位信息科学与技术学院
通讯作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
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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