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自推进粒子群的空间同步平行编队控制 被引量:2

Control for spatial synchronized parallel formation of self-propelled particles
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摘要 平行编队是群体协作控制研究的一项重要内容,而其空间同步,即群体在某一方向上运动步调一致,也是至关重要.本文在耦合谐振子理论基础上,提出了一种全相互作用的变速度自推进粒子模型,设计了一种解决平行编队的空间同步问题的控制方法.该方法通过改变自推进粒子运动速度而引入粒子间空间距离信息,实现了所有粒子沿实轴或虚轴方向的空间同步平行编队,并证明了该方法的收敛性.最后给出了粒子群的空间同步平行编队的仿真例子. Parallel formation is an important issue in the cooperative control for collective motion;its spatial synchronization collective motion along a certain direction in a space also vital.Based on the coupled oscillator theory,a model for all-to-all self-propelled particles with variable speed is proposed,and a control scheme to stabilize the model of the spatial synchronized parallel formation is developed.The space information is obtained for the control scheme to alter the speeds of self-propelled particles for achieving the spatial synchronized parallel formation along the real or imaginary axes.The convergence of the synchronization action is proved.Numerical simulations for spatial synchronized parallel formation of particles are performed.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2011年第4期587-590,共4页 Control Theory & Applications
基金 国家"863"计划资助项目(2006AA09A307) 国家自然科学基金资助项目(41076062)
关键词 平行编队 空间同步 自推进粒子 耦合谐振子 parallel formation spatial synchrony self-propelled particles coupled oscillators
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  • 1KING E, KUWATA Y, ALIGHANBARI M, et al. Coordination and control experiments on a multi-vehicle testbed[C]//Proceeding of the 2004 American Control Conference. New York: IEEE, 2004:5315 - 5320.
  • 2BERTUCCELLI L F, ALIGHANBARI M, HOW J E Robust planning for coupled cooperative UAV missions[C]//The 43rd IEEE Conference on Decision and Control. Piscataway: IEEE, 2004, 3: 2917- 2922.
  • 3FIORELLI E, LEONARD N E, BHATTA P, et al. Multi-AUV control and adaptive sampling in monterey bay[J]. IEEE Journal of Oceanic Engineering, 2006, 31(4): 935 -948.
  • 4COUZIN I D, KRAUSE J, JAMES R, et al. Collective memory and spatial sorting in animal groups[J]. Journal of Theoretical Biology, 2002, 218(1): 1 - 11.
  • 5OLFATI-SABER R. Flocking for multi-agent dynamic systems: algorithms and theory[J]. IEEE Transactions on Automatic Control, 2006, 51(3): 401 - 420.
  • 6ZHANG F, LEONARD N E. Coordinated patterns of unit speed particles on a closed curve[J]. Systems and Control Letters, 2007, 56(6): 397 - 407.
  • 7楚天广,杨正东,邓魁英,王龙,谢广明.群体动力学与协调控制研究中的若干问题[J].控制理论与应用,2010,27(1):86-93. 被引量:27
  • 8D'ORSOGNA M R, CHUANG Y L, BERTOZZI A L, et al. Self- propelled particles with soft-core interactions: Patterns, stability, and collapse[J]. Physical Review Letters, 2006, 96(10): 104302-1-4.
  • 9JUSTH E W, KRISHNAPRASAD P S. A simple control law for UAV formationflying[R]. Maryland: University of Maryland, 2002 - 38.
  • 10LEONARD N E, PALEY D, LEKIEN E etal. Collective motion, sensor networks and ocean sampling[J]. Proceedings of the IEEE, 2007, 95(1): 48 - 74.

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  • 1DUAN HaiBin & LIU SenQi National Key Laboratory of Science and Technology on Holistic Flight Control,School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China.Unmanned air/ground vehicles heterogeneous cooperative techniques:Current status and prospects[J].Science China(Technological Sciences),2010,53(5):1349-1355. 被引量:18
  • 2JORION P. Value at Risk:The New Benchmark of Controlling Derivatives Risk[M].New York:McGraw-Hill,1997.
  • 3ALEXANDER G,BAPTISTA A. Economic implications of using a mean-var model for portfolio selection:A comparison with mean-variance analysis[J].Journal of Economic Dynamics and Control,2002.1159-1193.
  • 4ALEXANDER G,BAPTISTA A,YAN S. Mean-variance portfolio selection with ′at-risk′ constraints and discrete distributions[J].Journal of Banking and Finance,2007.3761-3781.
  • 5CAMPBELL R,HUISMAN R,KOEDIJK K. Optimal portfolio selection in a Value-at-Risk framework[J].Journal of Banking and Finance,2001.1789-1804.
  • 6YIU K. Optimal portfolios under a value-at-risk constraint[J].Journal of Economic Dynamics and Control,2004.1317-1334.
  • 7BYRNE P,LEE S. Different risk measures:different portfolio compositions[J].Journal of Property Investment & Finance,2004.501-511.
  • 8GHAOUI L,OKS M,OUSTRY F. Worst-case value-atrisk and robust portfolio optimization:A conic programming approach[J].Operations Research,2003.543-556.
  • 9BERSTIMAS D,POPESCU I. Optimal inequalities in probability theory:A convex optimization approach[J].Society for Industrial and Applied Mathematics,2005.780-804.
  • 10王凌;刘波.微粒群优化与调度算法[M]北京:清华大学出版社,2008.

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