文献类型：期刊文献

英文题名：An observer-based model predictive control strategy for distributed parameter system

作者：Wang, MengLing[1]; Shi, Hongbo[1]; Yang, Wen[1]

机构：[1] East China University of Science and Technology, Key Lab. of Advanced Control and Optimization for Chemical Professes of the Ministry of Eduction, Shanghai, China

年份：2015

卷号：28

期号：8

起止页码：883

外文期刊名：IFAC-PapersOnLine

收录：EI(收录号：20160301805352)

语种：英文

外文关键词：Time domain analysis - Distributed parameter control systems - Predictive control systems - Principal component analysis - Metadata

摘要：In this paper, an observer-based model predictive control (MPC) strategy is presented for distributed parameter systems (DPSs). First, principal component analysis (PCA) is used for dimension reduction by transforming the high-dimensional spatio-temporal data into a low-dimensional time domain. Then an observer is builded to estimate the low-dimensional temporal output using the real-time measurable spatiotemporal output. Finally, the MPC strategy is proposed based on the low-dimensional estimation models. Simulations demonstrate the accuracy and efficiency of the proposed methodologies. ? 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.