期刊文献+

基于Agent的多无人机任务分配模型 被引量:4

Task Allocation Model for Multi UAVs Based on Agents
在线阅读 下载PDF
导出
摘要 分析了多无人机任务分配经典模型中存在的局限性,建立了基于Agent协商的多无人机任务分配模型。构建了无人机编队中资源管理和任务管理等两种Agent角色,并给出了相应的角色模型及其形式化模型描述,分别设计了相应的资源管理策略和任务管理策略。建立了两种角色之间任务分配协商协议,该协议既有效地保证了个体Agent的自主性,又最大限度地发挥了多Agent之间的合作性。实验表明,该模型能够有效地实现对分布式任务的合理分配。 The limitation of the classical model of UAV task allocation is analyzed, and a new task allocation model for multi UAVs based on agent is proposed in this paper. The two different kinds of agent roles has been discussed and defined, as well as the formal model and role model of the agent. The related policies for resource management and task management are also proposed for the agents. On the basis of this,the negotiation protocol between these two roles is also suggested so as to guarantee the autonomy of a single agent and the collaboration among different agents. The experiment results this method can improve the effective of distributed task allocation.
出处 《火力与指挥控制》 CSCD 北大核心 2014年第7期22-26,共5页 Fire Control & Command Control
基金 国防基础科研计划基金(B1420110145) 中航工业产学研专项基金(CXY2011HFGD20) 中央高校基本科研业务费专项基金(2012HGZY00009) 国家自然科学重点基金资助项目(71131002)
关键词 无人机 协商 任务分配 多AGENT系统 角色模型 UAV, negotiation, task allocation, multi agent system, role model
  • 相关文献

参考文献8

  • 1王重秋,李锋,张靖.无人作战飞机系统综述[J].电光与控制,2004,11(4):41-45. 被引量:17
  • 2龙涛,陈岩,沈林成.基于合同机制的多UCAV分布式协同任务控制[J].航空学报,2007,28(2):352-357. 被引量:24
  • 3Richards A, Bellingham J ,Tillerson M ,et al. Coordination and Control of Multiple UAVs [ C ]//In Proceedings of AIAA Guidance, Navigation ,and Control Conference and Exhibit. California, 2002.
  • 4Alighanbari M ,Kuwata Y ,Jonathan H. Coordination and Control of Multiple UAVs with Time Constraints and Loiter- ing [ C ]//In Proceedings of IEEE American Control Confer- ence, Denver, 2003.
  • 5Musliner D, Krebsbach K. Multi-Agent Mission Coordination via Negotiation [ C ]//In Working Notes of the AAAI Fall Symposium on Negotiation Methods for Autonomous Cooper- ative Systems, 2001.
  • 6Godfrey G,Cunningham J,Knutsen A. Negotiation Mecha- nisms for Coordinated Unmanned Aerial Vehicle Surveil- lance [ C ]//In Proceeding of International Conference on In- tegration of Knowledge Intensive Multi-Agent System. Waltham, 2005.
  • 7Wooldridge M.多Agent系统引论[M].石纯一,译.北京:电子工业出版社,2003.
  • 8Luo H, Yang S L, Hu X X. The Framework for Multi Agent Concurrent Negotiation [ C ]//In Proceeding of the WMWA, 2009.

二级参考文献18

  • 1FAHLSTROMPG GLEASONTJ.无人机系统导论[M].北京:电子工业出版社,2003..
  • 2Smith R G.The contract net protocol:high level communication and control in distributed problem solver[J].IEEE Transactions on Computers,1980,29 (12):1104-1113.
  • 3Andersson M,Sandholm T.Time quality tradeoffs in reallocative negotiation with combinatorial contract types[C]//Proceedings of the National Conference on Artificial Intelligence.USA,Orlando:AAAI Press,1999:3-10.
  • 4Golfarelli M,Maio D,Rizzi S.Multi-agent path planning based on task-swap negotiation[C]//Proceedings of the 16th UK Planning and Scheduling SIG Workshop.England,Durham:Morgan Kaufmann Press,1997:69-82.
  • 5Georgeff M P.Communication and interaction in multiagent planning[C]//Proceedings of the 3th National Conference on Artificial Intelligence.Menlo Park,CA:AAAI Press,1983:125-129.
  • 6Alami R,Robert F,Ingrand F,et al.Multi-robot cooperation through incremental plan-merging[C]//Proceedings of the IEEE International Conference on Robotics and Automation.France,Toulouse:IEEE Press,1995:2573-2579.
  • 7Dechter R,Meiri I,Pearl J.Temporal constraint networks[J].Artificial Intelligence,1991,49(5):61-95.
  • 8Kim P K.Model-based planning for coordinated air vehicle missions[D].[S.l.]:Massachusetts Institute of Technology,2000.
  • 9NATO Standardisation Agency.Standard interfaces of UAV control system (UCS) for NATO UAV Interoperability[S].2nd ed,2005.
  • 10Barbato G.Uninhabited combat air vehicle controls and displays for suppression of enemy air defenses[J].CSER IAC Gateway,2000,11 (1):1-4.

共引文献64

同被引文献37

引证文献4

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部