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

作者：Fu, Qin^*; Gu, Panpan; Li, Xiangdong; Wu, Jianrong

来源：Science China Information Sciences, 2017, 60(7): 079202.

DOI：10.1007/s11432-016-0341-7

<正>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].

• 出版日期2017-7
• 单位苏州科技大学