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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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Xiaokai Cao, Michal Fečkan, Dong Shen, JinRong Wang
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Vilnius University Press 2021-01-01
Sarja:Nonlinear Analysis
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Linkit:https://www.journals.vu.lt/nonlinear-analysis/article/view/20981
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