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Soft control on collective behavior of a group of autonomous agents by a shill agent
  • 时间:0
  • 分类:TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构:[1]Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China, [2]Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100080, China, [3]Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China
  • 相关基金:This work was supported by the National Natural Science Foundation of China (No. 20336040, No. 60574068, and No. 60221301).
  • 相关项目:控制科学中若干关键基础问题的研究
中文摘要:

这篇论文问一个新问题:我们怎么能控制集体行为组织 ofself 的多代理人系统?我们试着由建议新观点 called'Soft Control' 回答这个问题,它把存在代理人的本地规则放在系统。我们由案例研究显示出软控制的可行性。考虑简单却典型的分布式的 multi-agentmodel 由 Vicsek 等求婚了。为鸟结队:每个代理人以一样的速度,但是与基于它的自己的标题的一般水准用一条本地规则被更新的不同标题和它的邻居的标题移动。这个模型的大多数研究关于 self-organizedcollective 行为,例如标题的同步。我们想要由软控制在这个组的集体行为(标题) 干涉。一个指定方法是增加一个特殊代理人,叫了一个“党羽”,它能被我们控制,但是被另外的代理人当作一个平常的代理人。我们为党羽构造一条控制法律以便它能同步整个组到一个客观标题。这条控制法律被证明是有效经分解并且数字地。注意软控制与分布式的控制的途径不同。在分布式的系统干涉是一个自然方法。它可以在复杂系统的控制上拿出许多有趣的问题和挑战。

英文摘要:

This paper asks a new question: how can we control the collective behavior of self-organized multi-agent systems? We try to answer the question by proposing a new notion called 'Soft Control' which keeps the local rule of the existing agents in the system. We show the feasibility of soft control by a case study. Consider the simple but typical distributed multi-agent model proposed by Vicsek et al. for flocking of birds: each agent moves with the same speed but with different headings which are updated using a local rule based on the average of its own heading and the headings of its neighbors. Most studies of this model are about the self-organized collective behavior, such as synchronization of headings. We want to intervene in the collective behavior (headings) of the group by soft control. A specified method is to add a special agent, called a 'Shill', which can be controlled by us but is treated as an ordinary agent by other agents. We construct a control law for the shill so that it can synchronize the whole group to an objective heading. This control law is proved to be effective analytically and numerieally. Note that soft control is different from the approach of distributed control. It is a natural way to intervene in the distributed systems. It may bring out many interesting issues and challenges on the control of complex systems.

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