文献类型：期刊文献

中文题名：A fast MPC algorithm for reducing computation burden of MIMO

英文题名：A fast MPC algorithm for reducing computation burden of MIMO

作者：Rongbin Qi[1];Hua Mei[1];Chao Chen[1];Feng Qian[1];

机构：[1]Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;

年份：2015

卷号：23

期号：12

起止页码：2087

中文期刊名：中国化学工程学报：英文版

外文期刊名：Chinese Journal of Chemical Engineering

收录：CSTPCD;;Scopus;CSCD:【CSCD2015_2016】；

基金：Supported by the National Natural Science Foundation of China(61333010,61203157);the Fundamental Research Funds for the Central Universities;the National High-Tech Research and Development Program of China(2013AA040701);Shanghai Natural Science Foundation Project(15ZR1408900);Shanghai Key Technologies R&D Program Project(13111103800)

语种：英文

中文关键词：预测控制算法;MIMO系统;负担;计算;大型复杂系统;快速算法;基于模型;QR算法

外文关键词：Fast MPC algorithm Computation burden One-bit operation Dimension reduction

摘要：The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems.
The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems.