期刊文献+

多机器人协同搜索目标源及几何图形部署

Searching a Light Point with Multi-agent and Formate Geometry Around Point Light
下载PDF
导出
摘要 近60年来,机器人已经快速发展,然而就目前的机器人作为自主个体的应用来看,几乎所有的机器人在完成任务的过程中,都是不能缺少位置信息的。但是当今世界有越来越多艰难的任务需要多个智能机器人在不了解位置信息的情况下协同进行作业,例如水下打捞作业。针对这一情况,利用已有的单机器人的极值控制算法结合反应对流扩散方程以及多机器人的协同控制算法仿真实现多机器人协同搜索光源,并且使多机器人在点光源周围的部署成一定的几何图形,如圆、椭圆等以便完成相应的任务。为了验证算法的有效性和可操作性,采用7个机器人进行协作搜索光源过程仿真并给出仿真结果。 Based on the existing single robot extreme seeking algorithm and reaction-advection-diffusion equation,this paper let multi-robot search light point and deploy into certain geometry(such as round,ellipse,etc) arount the point.In order to verify the validity of the algorithm,this paper uses process 7 search robots to simulate and provide the results.
作者 郭莉菲
出处 《工业控制计算机》 2014年第3期73-75,共3页 Industrial Control Computer
关键词 多机器人 协同搜索 极值搜索算法 图形部署 反应对流扩散方程 MATLAB仿真 multi-robots,collaborative search,extremum seeking algorithm,graphical deployment,reacton-advection-diffusionequation,MATLAB simulation
  • 相关文献

参考文献12

  • 1ENima Ghods and Miroslav Krstic, Multiagent deployment overa source,lEEE Ttrans. on Control Systems Technology, VOL. 20, NO. 1, 227-285, 2012.
  • 2P. Frihauf, and M. Krstic, Leader-enabled development onto planar curves: a PDF-based approach, IEEE Trans on Auto- matic Control, Vol.56, N0.8, 1791-1806, 2011.
  • 3N.Ghods, P. Frihauf, and M. Krstic, MultiAgent Deployment in the Plane Using Stochastic Extremum Seeking,49th IEEE Conference on Decision and Control,5505-5510,2010.
  • 4N. Ghods and M. Krstic, Multi-agent deployment around a source in one dimension by extremum seeking,in Proc. Amer. Control Conf. ,2010, pp. 4794-4799.
  • 5E. W. Justh and P. S. Krishnaprasad, Equilibria and steering laws for planar formations, Syst. Control Lett. vol. 52, no. 1, pp. 25-38, 2004.
  • 6P. Frihauf and M. Krstic, Rapidly convergent leader-enabled multi-agent deployment into planar curves,2009 American Control Conference Hyatt Regency Riverfront,St.Louis,MO,US- A,2009,1994-1999.
  • 7Cochran Jennie and Krstic Miroslav, Nonholonomic source seeking with tuning of angular velocity[J], IEEE Transactions on Automatic Control, 2009, 54(4):717-731.
  • 8C. Zhang, D. Arnold, N. Ghods, A. Siranosian, and M Krstic, Source seeking with nonholonomic unicycle without position measurement and with tuning of forward velocity, Syst. Control Lett. vol. 56, pp.245-252, 2007.
  • 9W. Ren and E. Atkins, Distributed multi-vehicle coordinated control via local information exchange, Int. J. Robust Non- linear Control 2007; 17:1002-1033.
  • 10王佳,何志苠.极值搜索控制系统结构应用分析[J].昆明理工大学学报(理工版),2010,35(5):56-60. 被引量:2

二级参考文献35

  • 1Nick Killingsworth,Miroslav Krstic.PID tuning using extremum seeking. Control Systems Magazine . 2006
  • 2Tao Zhang,Martin Guay,Darryl Dochain.Adaptive extremum seeking control of continuous stirred-tank bioreactors. American Institute of Chemical Engineers Journal . 2003
  • 3Palo Binetti,Kartik B Ariyur,Miroslav Krstic.et al.Control of formation flight via extremum seeking. Proceedings of theAmerican Control Conference . 2002
  • 4Leblanc M.Sur l′electrification des chemins de fer au moyen de courants alternatifs de frequence elevee. Revue generalede l′Electricite . 1922
  • 5Feldbaum A.A.Computers in Automatic Control Systems. . 1959
  • 6Banavar R.N,Chichka D F,Speyer J.L.Convergence and synthesis issues in extremum seeking control. InternationalJournal of Adaptive Control and Signal Processing . 2003
  • 7Banavar R N.Extremum seeking loops with assumed functions:estimation and control. International Journal of Control . 2003
  • 8Perry Y Li,Roberto Horowitz.Self-Optimizing Control. Proceedings of the Conference on Decision and Control . 1997
  • 9Miroslav Krsti,Hsin-Hsiung Wang.Design and stability analysis of extremum seeking feedback for general nonlinear sys-tems. Automatica . 2000
  • 10Mario A Rotea.Analysis of multivariable extremum seeking algorithms. Proceedings of the American Control Confer-ence . 2000

共引文献1

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