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softcontroloncollectivebehaviorofagroupofautonomousagentsbyashillagent
Jing Han1; Ming Li2; Lei Guo1
2006
发表期刊journalofsystemsscienceandcomplexity
ISSN1009-6124
卷号19期号:1页码:54
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 numerically. 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.
语种英语
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/37990
专题系统科学研究所
国家数学与交叉科学中心
作者单位1.中国科学院数学与系统科学研究院
2.中国科学院理论物理研究所
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Jing Han,Ming Li,Lei Guo. softcontroloncollectivebehaviorofagroupofautonomousagentsbyashillagent[J]. journalofsystemsscienceandcomplexity,2006,19(1):54.
APA Jing Han,Ming Li,&Lei Guo.(2006).softcontroloncollectivebehaviorofagroupofautonomousagentsbyashillagent.journalofsystemsscienceandcomplexity,19(1),54.
MLA Jing Han,et al."softcontroloncollectivebehaviorofagroupofautonomousagentsbyashillagent".journalofsystemsscienceandcomplexity 19.1(2006):54.
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