文献类型：期刊文献

英文题名：Local Model-Based Predictive Control for Spatially-Distributed Systems Based on Linear Programming

作者：Wang, Mengling[1];Zhang, Yang[2];Shi, Hongbo[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Shanghai Urban & Rural Construct & Transportat Co, Shanghai Municipal Transportat Informat Ctr, Shanghai 200032, Peoples R China

年份：2012

卷号：51

期号：29

起止页码：9783

外文期刊名：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

收录：;EI(收录号：20123115293989);WOS:【SCI-EXPANDED(收录号:WOS:000306725400010)】；

基金：This work was supported by Shanghai Postdoctoral Science Foundation No. 12R21412600.

语种：英文

外文关键词：Model predictive control - Spatial distribution - Distributed computer systems

摘要：A local model-based predictive control strategy based on linear programming is proposed for partial differential equation descriptions unknown spatially distributed systems (SDSs). First, the interval type-2 T-S fuzzy based local modeling approach is developed to estimate the dynamics of the SDS based on the input-output data. On the basis of the local IT2 T-S fuzzy model, the local model-based predictive controller is designed to obtain local controlled outputs through minimizing the local optimization objective. Finally, the global controlled outputs are obtained by a linear programming method, where the deviations of the spatial temporal outputs from their spatial set points over the prediction horizon are considered as the optimal objective. The accuracy and efficiency of the proposed methodologies are tested in the simulation case.