Data-Driven Adaptive Iterative Learning Control for Linear Time-Varying Singular Systems
作者单位：School of Automation & Electronic Engineering Qingdao University of Science & Technology
会议名称：《第35届中国过程控制会议》
会议日期：1000年
学科分类：08[工学] 0802[工学-机械工程] 0835[工学-软件工程] 080201[工学-机械制造及其自动化]
关 键 词：Iterative dynamic relationship time-varying singular system adaptive iterative learning control data-driven control
摘 要：This work develops a data-driven adaptive iterative learning control(DDAILC) for output tracking problem of linear time-varying singular systems. By differencing system outputs between different iterations, the iterative dynamic relationship(IDR) between input and output data is established. Based on IDR, two index functions about the unknown system parameter and control input are designed, through which the parameter updating law and learning control law are proposed based on optimization design. The learning gain is updated by the parameter estimation automatically. The proposed DDAILC is data based and does not depend on the explicit system model. The effectiveness of the proposed method is verified by simulation studies.