Iterative learning control for multi-agent systems with impulsive consensus tracking

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...

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Bibliographic Details
Main Authors: Xiaokai Cao, Michal Fečkan, Dong Shen, JinRong Wang
Format: Article
Language:English
Published: Vilnius University Press 2021-01-01
Series:Nonlinear Analysis
Subjects:
Online Access:https://www.journals.vu.lt/nonlinear-analysis/article/view/20981