Iterative learning control approach for consensus of multi-agent systems with regular linear dynamics  

作　　者：Qin FU Panpan GU Xiangdong LI Jianrong WU 

机构地区：[1]School of Mathematics and Physics, Suzhou University of Science and Technology, Suzhou 215009, China

出　　处：《Science China(Information Sciences)》2017年第7期264-266,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant No. 11371013);Natural Science Foundation of Suzhou University of Science and Technology in 2016

摘　　要：Dear editor,Iterative learning control（ILC）has a wellestablished research history,as shown in[1,2].By generating a correct control signal from the previous control execution,it can achieve perfect tracking performance on a finite time interval.In the process of ILC design,the D-type[1]and P-type learning schemes[2]are often used to obtain good tracking performance and are applied,respectively,to irregular systems（without direct transmission from inputs to outputs）[1]and regular systems（with direct transmission from inputs to outputs）[2].Dear editor,Iterative learning control（ILC）has a wellestablished research history,as shown in[1,2].By generating a correct control signal from the previous control execution,it can achieve perfect tracking performance on a finite time interval.In the process of ILC design,the D-type[1]and P-type learning schemes[2]are often used to obtain good tracking performance and are applied,respectively,to irregular systems（without direct transmission from inputs to outputs）[1]and regular systems（with direct transmission from inputs to outputs）[2].

关 键 词：consensus perfect execution editor generating iteration irregular correct satisfy iterative 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TP18[自动化与计算机技术—控制科学与工程]