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

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].