Bipartite Containment Control for Multiagent Systems with Adaptive Quantization Information

Jie Wu, Heng Lei, Xisheng Zhan and Guoguang Wen

Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-10

Abstract: 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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:4677680

DOI: 10.1155/2022/4677680

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