An Observer-based Model Predictive Control Strategy for Distributed Parameter System∗. Issue 8 (2015)

• Record Type: Journal Article
• Authors: Wang, Meng Ling; Shi, Hongbo; Yang, Wen
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 8(2015)
• Page Start: 883
• Page End: 887
• Publication Date: 2015
• Subjects: Distributed parameter system -- model predictive control -- PCA -- time/space separation -- observer; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.081
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.