Consensus of multi-agent systems with diverse input and communication delays

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会议的结论英语作文

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After a long and intense discussion, we have reached a

非参数不确定多智能体系统一致性误差跟踪学习控制

严求真;孙明轩;李鹤

【摘 要】This paper presents a consensus-error-tracking iterative learning

control method to tackle the consensus problem for a class of leader-following non-parametric uncertain multi-agent systems, which perform a

given repetitive task over a finite interval with arbitrary initial error. The

iterative learning controllers are designed by applying Lyapunov synthesis.

As the iteration increases, each following multi-agent’s consensus-error

can track its desired consensus-error trajectory, and the all following multi-agents’ states perfectly track the leader’s state on the specified interval.

The robust learning technique is applied to deal with the nonparametric

uncertainties, and the hyperbolic tangent function is used to design

feedback terms, in order to compensate the cycle-varying but bounded