Real-time algorithm for self-reflective model predictive control

doi:10.1016/j.jprocont.2017.10.003

	Real-time algorithm for self-reflective model predictive control
	Feng, Xuhui1,2 ; Houska, Boris1
	2018-05
发表期刊	JOURNAL OF PROCESS CONTROL (IF:3.3[JCR-2023],3.6[5-Year])
ISSN	0959-1524
卷号	65 页码:68-77
发表状态	已发表
DOI	10.1016/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	正在获取...
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.