文献类型：会议论文

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]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Professes, Minist Educ, Shanghai 200237, Peoples R China

会议论文集：9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015

会议日期：JUN 07-10, 2015

会议地点：Whistler, CA

语种：英文

外文关键词：Distributed parameter system; model predictive control; PCA; time/space separation; observer

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 budded 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. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.