A Design Framework for Iterative Learning Control（ILC） Based on 2-Dimensional Model Predictive Control（2D-MPC）

作     者：Jia Shi~1 Furong Gao~2 Qingying Jiang~1 Zikai Cao~1 1.Department of Chemical & Biochemical Engineering School of Chemistry & Chemical Engineering,Xiamen University,Fujian,361000,P.R.C. 2.Department of Chemical and Biomolecular Engineering Hong Kong University of Science & Technology,Clear Water Bay,Kowloon,Hong Kong 

会议名称：《2009中国控制与决策会议》

会议日期：2009年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

关 键 词：2-Dimensional(2D) system Iterative Learning Control(ILC) Model Predictive Control(MPC) 

摘      要：正According to the philosophy of model predictive control（MPC）,2-dimensional（2D） MPC algorithm has been developed for the 2D *** transforming the ILC design problem into 2D-MPC design problem,a design framework for ILC scheme,referred as 2D-MPILC,has been proposed for the repetitive processes with 2D dynamics. The major advantages of the proposed design framework is the 2D dynamics of the process and the dynamics of the cycle-varying set-point profile can be take into account in the design resulting in a time-wise feedback control and a cycle-wise high-order ILC law combined and optimized in 2D *** simulation results demonstrate the effectiveness and robustness of the proposed ILC scheme.