Iterative learning control for impulsive multi-agent systems with varying trial lengths
In this paper, we introduce iterative learning control (ILC) schemes with varying trial lengths (VTL) to control impulsive multi-agent systems (I-MAS). We use domain alignment operator to characterize each tracking error to ensure that the error can completely update the control function during each...
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| Publicat a: | Nonlinear Analysis: Modelling and Control |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Vilniaus Universitetas
2022
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| Matèries: | |
| Accés en línia: | https://www.redalyc.org/articulo.oa?id=694173185003 https://www.redalyc.org/journal/6941/694173185003/ https://www.redalyc.org/journal/6941/694173185003/html/ https://www.redalyc.org/journal/6941/694173185003/694173185003.epub https://www.redalyc.org/journal/6941/694173185003/movil https://doi.org/10.15388/namc.2022.27.25475 |
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