有人/无人机混合编队有限干预式协同决策

doi:10.7527/S1000-6893.2015.0085

Abstract

Abstract:

In view of the characteristics of Leader-Follower heterogeneous multi-platform system for the human/unmanned aerial vehicle team which are hierarchical and distributed structure, decision-making information decentralization and communication constraints, the collaborative decision-making mechanism with limited intervention based on the combination of agent-based fuzzy cognitive map (ABFCM) and dynamic fuzzy cognitive map (DFCM) is presented. In the proposed approach, hierarchical autonomous decision-making model for Follower platform is developed in order to make the Follower able to interact with external environment well and reflect the autonomous decision-making dynamics. Three intervention strategies under different conditions are designed for Leader platform to meet the requirements of different decision levels. Meanwhile these strategies reflect the limitation of intervention processes. Simulation results show that intervention-limited collaborative decision-making mechanism can adapt to dynamic changes in the external environment and make full use of Follower platform's autonomous decision-making ability. Hierarchical limited interventions can reduce the control workload of Leader and ensure the effectiveness and feasibility of decision-making as well. This work also provides a theoretical basis and methodology support to solve other similar collaborative decision-making problem in complex systems.

Key words: heterogeneous systems, multi-agent systems, fuzzy inference, collaboration, decision-making, fuzzy cognitive maps, limited intervention

CLC Number:

V279
TP181

CHEN Jun, ZHANG Xinwei, XU Jia, GAO Xiaoguang. Human/unmanned-aerial-vehicle team collaborative decision-making with limited intervention[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(11): 3652-3665.

References

[1] Department of Defense. Unmanned system roadmap[R]. Washington, D.C., 2007.
[2] Cai J W, Long H Y, Zhang X. Key technologies for cooperative combat system of manned/unmanned aerial vehicles[J]. Command Information System and Technology, 2013, 4(2):10-14(in Chinese).蔡俊伟,龙海英,张昕.有人机/无人机协同作战系统关键技术[J].指挥信息系统与技术, 2013, 4(2):10-14.
[3] Valenti M, Schouwenaars T, Kuwata Y, et al. Implementation of a manned vehicle-UAV mission system, AIAA-2004-5142[R]. Reston:AIAA, 2004.
[4] Schouwenaars T, Kuwata Y, Feron E, et al. Liner programming and language processing for human/unmanned aerial vehicle team missions[J]. Journal of Guidance, Control, and Dynamics, 2006, 29(2):303-313.
[5] Wu L Z, Li Y, Peng H, et al. Design and implementation of the instruction set for manned vehicle-UAV cooperation and missions[J]. Journal of System Simulation, 2008, 20(S1):514-517(in Chinese).吴立珍,李远,彭辉,等.有人机/无人机协同任务指令集的设计与实现[J].系统仿真学报, 2008, 20(S1):514-517.
[6] Peng H, Xiang X J, Wu L Z, et al. Cooperative mission control system for a manned vehicle and unmanned aerial vehicle[J]. Acta Aeronautica et Astronautica Sinica, 2008, 29(S1):136-141(in Chinese).彭辉,相晓嘉,吴立珍,等.有人机/无人机协同任务控制系统[J].航空学报, 2008, 29(S1):136-141.
[7] Chen Z J,Zhang R L,Zhang P, et al. Flight control:Challenges and opportunities[J]. Acta Automatica Sinica, 2013, 39(6):703-710(in Chinese).陈宗基,张汝麟,张平,等.飞行器控制面临的机遇与挑战[J].自动化学报, 2013, 39(6):703-710.
[8] Di B, Zhou R, Ding Q X. Distributed coordinated heterogeneous task allocation for unmanned aerial vehicles[J]. Control and Decision, 2013, 28(2):274-278(in Chinese).邸斌,周锐,丁全心.多无人机分布式协同异构任务分配[J].控制与决策, 2013, 28(2):274-278.
[9] Liu Y F, Chen S D, Zhao Z Y, et al. Command and control system general research of manned vehicle/UCAV formation air-to-ground attack[J]. Fire Control & Command Control, 2013, 38(10):1-5(in Chinese).刘跃峰,陈哨东,赵振宇,等.有人机/UCAV编队对地攻击指挥控制系统总体研究[J].火力与指挥控制, 2013, 38(10):1-5.
[10] Papageorgiou E I. Fuzzy cognitive maps for applied sciences and engineering[M]. Berlin:Springer, 2013.
[11] Papageorgiou E I, Salmeron J L. A review of fuzzy cognitive maps research during the last decade[J]. IEEE Transactions on Fuzzy Systems, 2013, 21(1):66-79.
[12] Yu J T, Qian J X. Fuzzy cognitive map based agent reasoning model[J]. Journal of Zhejiang University:Engineering Science, 2004, 38(6):697-701(in Chinese).于江涛,钱积新.基于模糊认知图的Agent推理模型[J].浙江大学学报:工学版, 2004, 38(6):697-701.
[13] Wang Y J, Wang Z L, Wang G J, et al. Research on emotion agent model based on fuzzy cognitive map[J]. Computer Engineering and Applications, 2007, 43(17):1-3(in Chinese).王玉洁,王志良,王国江,等.基于模糊认知图的情感Angent模型研究[J].计算机工程与应用, 2007, 43(17):1-3.
[14] Miao C Y, Yang Q, Fang H J, et al. A cognitive approach for agent-based personalized recommendation[J]. Knowledge-Based Systems, 2007, 20(4):397-405.
[15] Liu H L, Wu T J. A coordination model based on FCM in MAS[J]. Systems Engineering Theory and Practice, 2002, 22(2):49-54(in Chinese).刘海龙,吴铁军.基于模糊认知图的多Agent协调模型[J].系统工程理论与实践, 2002, 22(2):49-54.
[16] Zhao H, Tan T X, Zhao Z T. A decision-making algorithm research based on FCM in MAS[J]. Microelectronics &Computer, 2009, 26(3):203-206(in Chinese).赵辉,谭天晓,赵宗涛.基于模糊认知图MAS系统决策算法研究[J].微电子学与计算机, 2009, 26(3):203-206.
[17] Anninou A P, Groumpos P P, Panagiotis P. Modeling health diseases using competitive fuzzy cognitive maps[M]. Artificial Intelligence Applications and Innovations. Berlin:Springer Heidelberg, 2013:88-95.
[18] Homenda W, Jastrzebska A, Pedrycz W. Modeling time series with fuzzy cognitive maps[C]//Proceedings of 2014 IEEE International Conference on Fuzzy Systems. Piscataway, NJ:IEEE Press, 2014:2055-2062.
[19] Glykas M. Fuzzy cognitive maps:Advances in theory, methodologies, tools and applications[M]. Berlin:Springer,2010:307-324.
[20] Stula M, Stipanicev D, Bodrozic L. Intelligent modeling with agent-based fuzzy cognitive map[J]. International Journal of Intelligent System, 2010, 25(10):981-1004.
[21] Khan M S, Quaddus M. Group decision support using fuzzy cognitive maps for causal reasoning[J]. Group Decision and Negotiation, 2004, 13(5):463-480.
[22] Tsadiras A K. Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps[J]. Information Sciences, 2008, 178(20):3880-3894.
[23] Gadallah A M, Hefny H A. Fuzzy cognitive map with dynamic fuzzification and causality behaviors[C]//Proceedings of the 7th International Conference on Informatics and Systems (INFOS2010). Piscataway, NJ:IEEE Press, 2010:99-105.
[24] Miao C Y, Angela G, Yuan M, et al. Agent that models, reasons and makes decisions[J]. Knowledge-Based Systems, 2002, 5(3):203-211.

Human/unmanned-aerial-vehicle team collaborative decision-making with limited intervention

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