Adaptive Iterative Learning Control for Systems with Nonlinearities
作者单位：Department of Electrical EngineeringAmirkabir University of TechnologyTehranIran
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：Iterative learning control Piecewise linear nonlinearity nonlinearity inverse method 2D system theory
摘 要：In this paper we consider the problem of ILC when it deals with systems with piecewise linear *** of actuators have nonlinear characteristics such as hystersis,backlash,deadzone or piecewise linear *** nonlinearities make controller design difficult,specifically when their parameters are not *** learning control,(ILC),uses an iterative algorithm to track a fixed reference output signal in a specific period of *** use the results of iterative learning control design based on 2D system theory and nonlinearity inverse method to compensate the effect of the actuator nonlinearity.