Methodology for robust multi-parametric control in linear continuous-time systems

doi:10.1016/j.jprocont.2018.09.005

	Methodology for robust multi-parametric control in linear continuous-time systems
	Sun, Muxin 1,2; Villanueva, Mario E.2,3 ; Pistikopoulos, Efstratios N.2; Chachuat, Benoit 1
	2019-01
发表期刊	JOURNAL OF PROCESS CONTROL
ISSN	0959-1524
卷号	73 页码:58-74
发表状态	已发表
DOI	10.1016/j.jprocont.2018.09.005
摘要	This paper presents an extension of the recent multi-parametric (mp-)NCO-tracking methodology by Sun et al. [Comput. Chem. Eng. 92 (2016) 64-77] for the design of robust multi-parametric controllers for constrained continuous-time linear systems in the presence of uncertainty. We propose a robustcounterpart formulation and solution of multi-parametric dynamic optimization (mp-DO), whereby the constraints are backed-off based on a worst-case propagation of the uncertainty using either interval analysis or ellipsoidal calculus and an ancillary linear state feedback. We address the case of additive uncertainty, and we discuss approaches to dealing with multiplicative uncertainty that retain tractability of the mp-NCO-tracking design problem, subject to extra conservativeness. In order to assist with the implementation of these controllers, we also investigate the use of data classifiers based on deep learning for approximating the critical regions in continuous-time mp-DO problems, and subsequently searching for a critical region during on-line execution. We illustrate these developments with the case studies of a fluid catalytic cracking (FCC) unit and a chemical reactor cascade. (C) 2018 The Author(s). Published by Elsevier Ltd.
关键词	Constrained linear-quadratic regulator Robust model predictive control Multi-parametric programming Multi-parametric NCO-tracking Neural network classifier
收录类别	SCI ; SCIE ; EI
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Chemical
WOS记录号	WOS:000460809800006
出版者	ELSEVIER SCI LTD
EI入藏号	20185106270968
EI主题词	Calculations ; Catalytic cracking ; Controllers ; Deep learning ; Linear systems ; Model predictive control ; Robust control ; State feedback ; Uncertainty analysis
EI分类号	Automatic Control Principles and Applications:731 ; Control Systems:731.1 ; Control Equipment:732.1 ; Chemical Reactions:802.2 ; Mathematics:921 ; Probability Theory:922.1 ; Systems Science:961
WOS关键词	MODEL-PREDICTIVE CONTROL ; DYNAMIC OPTIMIZATION ; ALGORITHM ; DESIGN
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/30569
专题	信息科学与技术学院_PI研究组_Boris Houska组
通讯作者	Chachuat, Benoit
作者单位	1.Imperial Coll London, Dept Chem Engn, Ctr Proc Syst Engn, London, England 2.Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX USA 3.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Sun, Muxin,Villanueva, Mario E.,Pistikopoulos, Efstratios N.,et al. Methodology for robust multi-parametric control in linear continuous-time systems[J]. JOURNAL OF PROCESS CONTROL,2019,73:58-74.
APA	Sun, Muxin,Villanueva, Mario E.,Pistikopoulos, Efstratios N.,&Chachuat, Benoit.(2019).Methodology for robust multi-parametric control in linear continuous-time systems.JOURNAL OF PROCESS CONTROL,73,58-74.
MLA	Sun, Muxin,et al."Methodology for robust multi-parametric control in linear continuous-time systems".JOURNAL OF PROCESS CONTROL 73(2019):58-74.