期刊文献+

Multi-Variable Flocking Control for Multi-Agent Systems via a Received Signal Strength Indicator 被引量:1

Multi-Variable Flocking Control for Multi-Agent Systems via a Received Signal Strength Indicator
下载PDF
导出
摘要 A novel flocking control approach is proposed for multi-agent systems by integrating the variables of velocities, motion directions, and positions of agents. A received signal strength indicator (RSSI) is applied as a variable to estimate the inter-distance between agents. A key parameter that contains the local information of agents is defined, and a multi-variable controller is proposed based on the parameter. For the position control of agents, the RSSI is introduced to substitute the distance as a control variable in the systems. The advantages of RSSI include that the relative distance between every two agents can be adjusted through the communication quality under different environments, and it can shun the shortage of the limit of sensors. Simulation studies demonstrate the effectiveness of the proposed control approach. A novel flocking control approach is proposed for multi-agent systems by integrating the variables of velocities, motion directions, and positions of agents. A received signal strength indicator (RSSI) is applied as a variable to estimate the inter-distance between agents. A key parameter that contains the local information of agents is defined, and a multi-variable controller is proposed based on the parameter. For the position control of agents, the RSSI is introduced to substitute the distance as a control variable in the systems. The advantages of RSSI include that the relative distance between every two agents can be adjusted through the communication quality under different environments, and it can shun the shortage of the limit of sensors. Simulation studies demonstrate the effectiveness of the proposed control approach.
出处 《Journal of Electronic Science and Technology》 CAS 2011年第3期231-238,共8页 电子科技学刊(英文版)
基金 supported by the National Basic Research Program of China (973Program) under Grant No. 2010CB731800 the National Natural Science Foundation of China under Grant No. 60934003 and 61074065 the Key Project for Natural Science Research of Hebei Education Departmentunder Grant No. ZD200908
关键词 Index Terms---Flocking multi-agent system multi-variable control received signal strength indicator. Index Terms---Flocking, multi-agent system, multi-variable control, received signal strength indicator.
  • 相关文献

参考文献11

  • 1Jing HAN,Ming LI,Lei GUO.SOFT CONTROL ON COLLECTIVE BEHAVIOR OF A GROUP OF AUTONOMOUS AGENTS BY A SHILL AGENT[J].Journal of Systems Science & Complexity,2006,19(1):54-62. 被引量:23
  • 2T. H. Summers,C.-B. Yu,B. D. O. Anderson,S. Dasguppta."Control of coleader formations in the plane,"[].Proc of the th IEEE Conf on Decision and Control.2009
  • 3T. Eren,,P. N. Belhumeur,B. D. O. Anderson,,A. S. Morse."A framework for maintaining formations based on rigidity,"[].Proc of the th International Federation of Automatic Control World Congress.2002
  • 4X.-R. Li."Collaborative localization with received-signal strength in wireless sensor networks,"[].IEEE Transactions on Vehicular Technology.2007
  • 5Y. Sheng,K. Tan,G. Chen,D. Kotz,A. Campbell."Detecting 802.11 MAC layer spoofing using received signal strength,"[].Proc of the th Conf on Computer Communications.2008
  • 6Z.-G. Hou,L. Cheng,M. Tan."Decentralized robust adaptive control for the multi-agent system consensusproblem using neural networks,"[].IEEE Transactions on Systems Man and Cybernetics.2009
  • 7I. Shames,B. Fidan,B. D. O. Anderson."Minimization of the effect of noisy measurements on localization of multi-agent autonomous formations,"[].Automatica.2009
  • 8罗小元,韩娜妮,关新平.Leader-following formation control of multi-agent networks based on distributed observers[J].Chinese Physics B,2010,19(10):7-15. 被引量:4
  • 9M. Defoort,A. Kokosy,T. Floquet,et al.Motion planning for cooperative unicycle-type mobile robots with limited sensing ranges: A distributed receding horizon approach[].Robotics and Autonomous Systems.2009
  • 10Kazerooni E S,Khorasani K.Multi-agent teamcoop-eration:A game theory approach[].Automatica.2009

二级参考文献32

  • 1Rodrigues J, Figueira D, Neves C and Ribeiro 1 2008 Proc. of the 8-th Towards Autonomous Robotic System (Aveiro:Portugal) pp. 71-77.
  • 2Dimarogonas D V and Kyriakopoulos K J 2008 Automatica 44 2648.
  • 3Anderson Brian D O, Yu C B, Dasgupta S and Morse A S 2007 Syst. Control Lett. 56 573.
  • 4Olfati-Saber R and Murray R M 2002 Proc. of the 41st IEEE CDC, Las Vegas, Nevada, USA, pp. 2965-2971.
  • 5Consolini L, Morbidib F, Prattichizzob D and M Tosques 2008 Automatica 44 1343.
  • 6Chen F, Chen Z Q, Liu Z X, Xiang L Y and Yuan Z Z 2008 Physica A 387 4917.
  • 7Yang T T, Liu Z Y, Chen H and Hong P 2008 Acta Automatica Sinica 34 588.
  • 8Liu S C, Tan D L and Liu G J 2007 Acta Automatica Sinica 33 947.
  • 9Wen R and Sorensen N 2008 Robot Auton. Syst. 56 324.
  • 10Gu D B and Hu H S 2009 Int. J. Syst. Sci. 40 539.

共引文献25

引证文献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