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Xin-Ping Guan, Shao-Min Xing, Xiao-Yuan Luo. Multi-Variable Flocking Control for Multi-Agent Systems via a Received Signal Strength Indicator[J]. Journal of Electronic Science and Technology, 2011, 9(3): 231-238. DOI: 10.3969/j.issn.1674-862X.2011.03.007
Citation: Xin-Ping Guan, Shao-Min Xing, Xiao-Yuan Luo. Multi-Variable Flocking Control for Multi-Agent Systems via a Received Signal Strength Indicator[J]. Journal of Electronic Science and Technology, 2011, 9(3): 231-238. DOI: 10.3969/j.issn.1674-862X.2011.03.007
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Multi-Variable Flocking Control for Multi-Agent Systems via a Received Signal Strength Indicator

doi: 10.3969/j.issn.1674-862X.2011.03.007
  • 1.

    School of Electronic,Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China;

  • 2.

    Institute of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China

Funds: 

This work was supported by the National Basic Research Program of China (973 Program) under Grant No. 2010CB731800, the National Natural Science Foundation of China under Grant No. 60934003 and 61074065, and the Key Project for Natural Science Research of Hebei Education Department under Grant No. ZD200908.

More Information
  • Author Bio:

    Xin-Ping Guan research interests include robust congestion control in communication networks, cooperative control of multi-agent systems, and networked control systems, xpguan@ysu.edu.cn;
    Shao-Min Xing, xigua589@126.com;
    Xiao-Yuan Luo, xyluo@ysu.edu.cn

    Xin-Ping Guan research interests include robust congestion control in communication networks, cooperative control of multi-agent systems, and networked control systems, xpguan@ysu.edu.cn;
    Shao-Min Xing, xigua589@126.com;
    Xiao-Yuan Luo, xyluo@ysu.edu.cn

    Xin-Ping Guan research interests include robust congestion control in communication networks, cooperative control of multi-agent systems, and networked control systems, xpguan@ysu.edu.cn;
    Shao-Min Xing, xigua589@126.com;
    Xiao-Yuan Luo, xyluo@ysu.edu.cn

  • Received Date: 2011-03-28
  • Rev Recd Date: 2011-06-26
  • Publish Date: 2011-09-24
    Abstract
  • 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.
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