Iterative learning control for multi-agent systemswith impulsive consensus tracking
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| Format: | Artículo científico |
| Language: | en |
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Vilniaus Universitetas
2021
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| _version_ | 1876450209641267200 |
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| author | Cao Xiaokai |
| author_facet | Cao Xiaokai |
| contents | Iterative learning control for multi-agent systemswith impulsive consensus tracking Cao Xiaokai Feˇckan Michal Shend Dong Wanga JinRong Matemáticas multi agent systems Iterative learning control 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 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. 2021 artículo científico 1392-5113 https://www.redalyc.org/articulo.oa?id=694172828008 https://www.redalyc.org/journal/6941/694172828008/ https://www.redalyc.org/journal/6941/694172828008/html/ https://www.redalyc.org/journal/6941/694172828008/694172828008.epub https://www.redalyc.org/journal/6941/694172828008/movil https://doi.org/10.15388/namc.2021 en http://www.redalyc.org/revista.oa?id=6941 Nonlinear Analysis: Modelling and Control application/pdf Vilniaus Universitetas Nonlinear Analysis: Modelling and Control (Lituania) Num.1 Vol.26 |
| format | Artículo científico |
| id | redalyc_694172828008 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Vilniaus Universitetas |
| spellingShingle | Iterative learning control for multi-agent systemswith impulsive consensus tracking Cao Xiaokai Matemáticas multi agent systems Iterative learning control impulsive consensus tracking Iterative learning control for multi-agent systemswith impulsive consensus tracking Cao Xiaokai Feˇckan Michal Shend Dong Wanga JinRong Matemáticas multi agent systems Iterative learning control 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 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. 2021 artículo científico 1392-5113 https://www.redalyc.org/articulo.oa?id=694172828008 https://www.redalyc.org/journal/6941/694172828008/ https://www.redalyc.org/journal/6941/694172828008/html/ https://www.redalyc.org/journal/6941/694172828008/694172828008.epub https://www.redalyc.org/journal/6941/694172828008/movil https://doi.org/10.15388/namc.2021 en http://www.redalyc.org/revista.oa?id=6941 Nonlinear Analysis: Modelling and Control application/pdf Vilniaus Universitetas Nonlinear Analysis: Modelling and Control (Lituania) Num.1 Vol.26 |
| title | Iterative learning control for multi-agent systemswith impulsive consensus tracking |
| topic | Matemáticas multi agent systems Iterative learning control impulsive consensus tracking |
| url | https://www.redalyc.org/articulo.oa?id=694172828008 https://www.redalyc.org/journal/6941/694172828008/ https://www.redalyc.org/journal/6941/694172828008/html/ https://www.redalyc.org/journal/6941/694172828008/694172828008.epub https://www.redalyc.org/journal/6941/694172828008/movil https://doi.org/10.15388/namc.2021 |