基于认知的无人作战体系多层指挥控制架构
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- 英文论文题名：Cognitive-based Multi-Layer Command and Control Architecture for Unmanned Combat So S
- 论文作者：何华 ; 李志飞 ; 王维平 ; 朱一凡 ; 李小波
- 英文论文作者：HE Hua ; LI Zhi-fei ; WANG Wei-ping ; ZHU Yi-fan ; LI Xiao-bo ; College of Information System and Management ; National University of Defense Technology
- 年：2017
- 作者机构：国防科技大学信息系统与管理学院;
- 论文关键词：无人体系 ; 指控架构 ; 分层控制 ; 认知决策
- 英文论文关键词：Unmanned So S ; C2 Architecture ; Hierarchical Control ; Cognitive Decision Making
- 会议召开时间：2017-07-03
- 会议录名称：第五届中国指挥控制大会论文集
- 语种：中文
- 分类号：E86;E91
- 学会代码：ZHKZ
- 会议名称：第五届中国指挥控制大会
- 会议地点：中国北京
- 主办单位：中国指挥与控制学会
- 学会名称：中国指挥与控制学会
- 页数：8
- 文件大小：766k
- 原文格式：D
- 会议级别：全国
摘要
无人作战呈现出了有人无人协调、分布式网络化等特点,无人作战的指挥控制架构需要体系集中控制、集群分布控制和平台自主控制相融合的新机理。本文按照分层递阶的思想,结合OODA控制回路,提出了一种基于认知的无人作战体系多层指挥控制架构,将无人作战体系分为四层控制结构,从不同层级实现无人作战体系的自主协同控制,保证了指挥的统一性、控制的灵活性和系统的可扩展性。
The unmanned combat presents some new characteristics like distributed network and traditional force coordination with unmanned. Thus,its command and control(C2) architecture needs the new mechanism combine of centralized control, swarm distribution control and platform autonomous control. According to the idea of layered hierarchical, merged with the OODA control loop, a cognitive-based multi-layer command and control architecture for unmanned combat system of systems(So S) is proposed, which divides the unmanned combat So S into four layers control structure and realize autonomous coordination control of unmanned combat So S from different levels, to ensure the unity of the command, control flexibility and system scalability.
The unmanned combat presents some new characteristics like distributed network and traditional force coordination with unmanned. Thus,its command and control(C2) architecture needs the new mechanism combine of centralized control, swarm distribution control and platform autonomous control. According to the idea of layered hierarchical, merged with the OODA control loop, a cognitive-based multi-layer command and control architecture for unmanned combat system of systems(So S) is proposed, which divides the unmanned combat So S into four layers control structure and realize autonomous coordination control of unmanned combat So S from different levels, to ensure the unity of the command, control flexibility and system scalability.
引文
[1]史秉政.基于分布式网络化指控体系的协同跟踪设计[J].指挥控制与仿真,2016,38(3):102-107.
[2]Grant T,Kooter B.Comparing OODA and Other Models as Oper-ational View C2 Architecture[C].10th International Command and Control Research and Technology Symposium:The Future of C2,Mc Lean Va.June 13-16,2005.
[3]Grant T.Towards mixed rational-naturalistic decision support for Command&Control[C].Proceedings of the 6th International ISCRAM Conference,Gothenburg,Sweden.May 2009.
[4]Boy G A.Decision Making:A Cognitive Function Approach[C].Proceedings of the Seventh International NDM Conference(Ed.J.M.C Schraagen),Amsterdam,Netherlands.June 2005.
[5]Consoli A,Tweedale J,Jain L.Aligning Cognitive Models Using AC3M[M].IEEE Computer Society,2008.
[6]Xiaobing Zhao,Ameya Shendarkar,Young-Jun Son.BDI Agent-based Human Decision-Making Model and its Implementation in Agent-in-the-loop,Human-in-the-loop,Hardware-in-the-loop,Distributed Simulation.
[7]Grant T.Unifying planning and control using an OODA-based archite-cture[C].Proceedings of the 2005 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries,2005:111-113.
[8]Chrysostomos D.S,Nikolinka C,Peter P.Groumpos.Using Soft Computing Methodologies for Multistage Supervisory Control of Complex Systems[C].Proceedings of the 7th Mediterranean Conference on Control and Automation(MED99)Haifa,Israel-June28-30,1999:2274-2284.
[9]US Department of Commerce,NIST.4D/RCS Version 2.0:A Re-ference Model Architecture for Unmanned Vehicle Systems[R].NIST Interagency/Internal Report(NISTIR)-6910.
[10]Powers W T.The Control of Perception[M].S.1.1973.
[11]Jay Bayne,Raymond Paul.Scale-free Enterprise Command and Cont-rol Unified Command Structures.10th International Command and Control Research and Technology Symposium,Mc Lean,VA,June13-16,2005.
[12]Lewis F L,Hudas G R,Pang C K,et al.Discrete event command and control for networked teams with multiple missions[C].SPIE Defense,Security,and Sensing.International Society for Optics and Photonics,2009.
[13]Shah N B,Sussman J M,Rhodes D H,et al.Influence strategies for systems of systems[C].International Conference on System of Systems Engineering.IEEE,2012:471-478.
[14]Dickmann J,Analytics P,Bozdogan K.Flexibility in Complex Ente-rprises:Case Studies from Military Operations and Acquisition[J].Massachusetts Institute of Technology,May 2009.
[15]Agarwal S,Pape L E,Dagli C H,et al.Flexible and Intelligent Learning Architectures for So S(FILA-So S):Architectural Evolution in Systems-of-Systems[J].Procedia Computer Science,2015,44:76-85.
[16]Levchuk M.Networks of Decision-Making and Communicating Age-nts:A New Methodology for Designing Heterarchical Organizational Structures[R].2005.
[2]Grant T,Kooter B.Comparing OODA and Other Models as Oper-ational View C2 Architecture[C].10th International Command and Control Research and Technology Symposium:The Future of C2,Mc Lean Va.June 13-16,2005.
[3]Grant T.Towards mixed rational-naturalistic decision support for Command&Control[C].Proceedings of the 6th International ISCRAM Conference,Gothenburg,Sweden.May 2009.
[4]Boy G A.Decision Making:A Cognitive Function Approach[C].Proceedings of the Seventh International NDM Conference(Ed.J.M.C Schraagen),Amsterdam,Netherlands.June 2005.
[5]Consoli A,Tweedale J,Jain L.Aligning Cognitive Models Using AC3M[M].IEEE Computer Society,2008.
[6]Xiaobing Zhao,Ameya Shendarkar,Young-Jun Son.BDI Agent-based Human Decision-Making Model and its Implementation in Agent-in-the-loop,Human-in-the-loop,Hardware-in-the-loop,Distributed Simulation.
[7]Grant T.Unifying planning and control using an OODA-based archite-cture[C].Proceedings of the 2005 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries,2005:111-113.
[8]Chrysostomos D.S,Nikolinka C,Peter P.Groumpos.Using Soft Computing Methodologies for Multistage Supervisory Control of Complex Systems[C].Proceedings of the 7th Mediterranean Conference on Control and Automation(MED99)Haifa,Israel-June28-30,1999:2274-2284.
[9]US Department of Commerce,NIST.4D/RCS Version 2.0:A Re-ference Model Architecture for Unmanned Vehicle Systems[R].NIST Interagency/Internal Report(NISTIR)-6910.
[10]Powers W T.The Control of Perception[M].S.1.1973.
[11]Jay Bayne,Raymond Paul.Scale-free Enterprise Command and Cont-rol Unified Command Structures.10th International Command and Control Research and Technology Symposium,Mc Lean,VA,June13-16,2005.
[12]Lewis F L,Hudas G R,Pang C K,et al.Discrete event command and control for networked teams with multiple missions[C].SPIE Defense,Security,and Sensing.International Society for Optics and Photonics,2009.
[13]Shah N B,Sussman J M,Rhodes D H,et al.Influence strategies for systems of systems[C].International Conference on System of Systems Engineering.IEEE,2012:471-478.
[14]Dickmann J,Analytics P,Bozdogan K.Flexibility in Complex Ente-rprises:Case Studies from Military Operations and Acquisition[J].Massachusetts Institute of Technology,May 2009.
[15]Agarwal S,Pape L E,Dagli C H,et al.Flexible and Intelligent Learning Architectures for So S(FILA-So S):Architectural Evolution in Systems-of-Systems[J].Procedia Computer Science,2015,44:76-85.
[16]Levchuk M.Networks of Decision-Making and Communicating Age-nts:A New Methodology for Designing Heterarchical Organizational Structures[R].2005.
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