文章基本信息

标题：Distributed Behavioral Control for Second-Order Nonlinear Multi-Agent Systems
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作者：Jie Huang ; Ming Cao ; Ning Zhou 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：2445-2450
DOI：10.1016/j.ifacol.2017.08.407
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we investigate a novel distributed behavioral control scheme for second-order nonlinear multi-agent systems (MAS) directed network topologies. Unlike most existing behavioral control algorithms which require global information of the underlying network, we develop a distributed adaptive behavioral control using a local adaptive strategy via distributed state estimator, null-space-based behavioral projection, and neural-network-based approximation. Some simple behaviors for each agent are defined and properly arranged according to their priority to achieve the assigned overall behavior. In particular, tracking is performed in a distributed manner, in which the behaviors of each agent only depend on local information concerning the agent’s neighbors. Finally, we present a simulation example to verify and illustrate the theoretical results.
关键词：KeywordsBehavioral controldistributed controlestimatormulti-behaviormulti-agent systemneural networks