Iterative learning control for multi-agent systems with impulsive consensus tracking
Xiaokai Cao
Guizhou University
Michal Fečkan
Comenius University in Bratislava
Dong Shen
Renmin University of China
JinRong Wang
Guizhou University
Published 2021-01-01


iterative learning control
multi-agent systems
impulsive consensus tracking

How to Cite

Cao X., Fečkan M., Shen D. and Wang J. (2021) “Iterative learning control for multi-agent systems with impulsive consensus tracking”, Nonlinear Analysis: Modelling and Control, 26(1), pp. 130-150. doi: 10.15388/namc.2021.26.20981.


In this paper, we adopt D-type and PD-type learning laws with the initial state of iteration to achieve uniform tracking problem of multi-agent systems subjected to impulsive input. For the multi-agent system with impulse, we show that all agents are driven to achieve a given asymptotical consensus as the iteration number increases via the proposed learning laws if the virtual leader has a path to any follower agent. Finally, an example is illustrated to verify the effectiveness by tracking a continuous or piecewise continuous desired trajectory.

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