Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information
In this study, bipartite containment control for multiagent systems (MASs) with quantitative information is investigated. Communication topology is structurally balanced, and the follower’s trajectory is within the area surrounded by the leader by designing distributed error terms. The leader is an...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/4677680 |
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| _version_ | 1832562063123152896 |
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| author | Jie Wu Heng Lei Xisheng Zhan |
| author_facet | Jie Wu Heng Lei Xisheng Zhan |
| author_sort | Jie Wu |
| collection | DOAJ |
| description | In this study, bipartite containment control for multiagent systems (MASs) with quantitative information is investigated. Communication topology is structurally balanced, and the follower’s trajectory is within the area surrounded by the leader by designing distributed error terms. The leader is an external system, and the matrix information of the leader cannot be accessed by followers. Based on an adaptive quantization information distributed observer, the authors introduce an output feedback protocol to study bipartite containment control. Finally, simulations demonstrate the effectiveness of proposed control algorithms. |
| format | Article |
| id | doaj-art-8db25a33d1ed4c95bcf2f6184f8b8213 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-8db25a33d1ed4c95bcf2f6184f8b82132025-02-03T01:23:37ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/4677680Bipartite Containment Control for Multiagent Systems with Adaptive Quantization InformationJie Wu0Heng Lei1Xisheng Zhan2College of Arts and Sciences of Hubei Normal UniversityHubei Normal UniversityHubei Normal UniversityIn this study, bipartite containment control for multiagent systems (MASs) with quantitative information is investigated. Communication topology is structurally balanced, and the follower’s trajectory is within the area surrounded by the leader by designing distributed error terms. The leader is an external system, and the matrix information of the leader cannot be accessed by followers. Based on an adaptive quantization information distributed observer, the authors introduce an output feedback protocol to study bipartite containment control. Finally, simulations demonstrate the effectiveness of proposed control algorithms.http://dx.doi.org/10.1155/2022/4677680 |
| spellingShingle | Jie Wu Heng Lei Xisheng Zhan Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information Discrete Dynamics in Nature and Society |
| title | Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information |
| title_full | Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information |
| title_fullStr | Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information |
| title_full_unstemmed | Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information |
| title_short | Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information |
| title_sort | bipartite containment control for multiagent systems with adaptive quantization information |
| url | http://dx.doi.org/10.1155/2022/4677680 |
| work_keys_str_mv | AT jiewu bipartitecontainmentcontrolformultiagentsystemswithadaptivequantizationinformation AT henglei bipartitecontainmentcontrolformultiagentsystemswithadaptivequantizationinformation AT xishengzhan bipartitecontainmentcontrolformultiagentsystemswithadaptivequantizationinformation |