首页|期刊导航|高技术通讯（英文版）|A Computationally Efficient Aggregation Optimization Strategy of Model Predictive Control
高技术通讯（英文版）2002，Vol.8Issue(2)：68-71,4.
A Computationally Efficient Aggregation Optimization Strategy of Model Predictive Control
A Computationally Efficient Aggregation Optimization Strategy of Model Predictive Control
摘要
Abstract
Model Predictive Control (MPC) is a popular technique and has been successfully used in various industrial applications. However, the big drawback of MPC involved in the formidable on-line computational effort limits its applicability to relatively slow and/or small processes with a moderate number of inputs. This paper develops an aggregation optimization strategy for MPC that can improve the computational efficiency of MPC. For the regulation problem, an input decaying aggregation optimization algorithm is presented by aggregating all the original optimized variables on control horizon with the decaying sequence in respect of the current control action.关键词
Model Predictive Control (MPC)/on-line computational efforKey words
Model Predictive Control (MPC)/on-line computational effor分类
信息技术与安全科学引用本文复制引用
..A Computationally Efficient Aggregation Optimization Strategy of Model Predictive Control[J].高技术通讯（英文版）,2002,8(2):68-71,4.基金项目
Supported by the High Technology Research and Development Program of China and the National Natural Science Foundation of China. （）
