关键词: 多智能体系统, 非线性离散时间系统, 数据丢失, 迭代学习控制, 一致性跟踪

Abstract: It is considered the consensus tracking problem for a class of nonlinear Multi-Agent Systems（MAS） with data dropouts. It is assumed that the multi-agent systems use fixed communication topology. Moreover, due to the communication channel failure the measurements missing often occurs. The data missing phenomena is described as a random Bernoulli sequence with 0/1. Then the consensus tracking error is designed and a distributed P-type iterative learning control algorithm with data dropouts is proposed. By using the approach of contraction mapping, the convergence condition of tracking error is given and the theoretical analysis is also provided. It is shown that the proposed Iterative Learning Control（ILC） algorithm can realize the perfect?tracking of the desired trajectory over a finite time interval and verify the effectiveness of the algorithm.

Key words: Multi-Agent Systems（MAS）, discrete-time nonlinear systems, data dropouts, Iterative Learning Control（ILC）, consensus tracking