Iterative Learning Control for Discrete Linear System with Wireless Transmission Based on Adaptive Fourier Decomposition
作者单位：IEEE School of Communication and Information EngineeringShanghai University Faculty of Science and TechnologyUniversity of Macau
会议名称：《第36届中国控制会议》
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：supported by NSF of China(61271213,61673253) the Ph.D.Programs Foundation of Ministry of Education of China(20133108110014) Macao University Science and Technology Bureau(MYRG 2014-00009-FST and 2016-00053-FST)
关 键 词：Iterative learning control Adaptive Fourier Decomposition Wireless transmission Frequency domain
摘 要：Iterative learning control（ILC） is an important method for networked control systems and it uses the control information several times before to form the current control input signal[1].Nowadays,ILC has developed maturely,but its output signal may cannot track the desired trajectory accurately because of the channel noise of wireless *** this paper,we introduce the Adaptive Fourier Decomposition（AFD） algorithm to eliminate the channel noise superimposed on the output signal in the wireless transmission process[2].So an ILC method for discrete linear system with wireless transmission based on AFD in frequency domain is *** simulation results show that the AFD algorithm is able to achieve signal demising well in the case of small decomposition threshold compared with Fourier decomposition,and then the goal that the output signal of ILC system can track the desired signal accurately will be achieved.