Volume 8 Number 1
February 2011
Article Contents
Jing Yan, Xin-Ping Guan, Xiao-Yuan Luo and Fu-Xiao Tan. Target Tracking and Obstacle Avoidance for Multi-agent Networks with Input Constraints. International Journal of Automation and Computing, vol. 8, no. 1, pp. 46-53, 2011. doi: 10.1007/s11633-010-0553-1
Cite as: Jing Yan, Xin-Ping Guan, Xiao-Yuan Luo and Fu-Xiao Tan. Target Tracking and Obstacle Avoidance for Multi-agent Networks with Input Constraints. International Journal of Automation and Computing, vol. 8, no. 1, pp. 46-53, 2011. doi: 10.1007/s11633-010-0553-1

Target Tracking and Obstacle Avoidance for Multi-agent Networks with Input Constraints

Author Biography:
  • Xin-Ping Guan received the M.Sc.de-gree in applied mathematics from Harbin Institute of Technology,PRC in 1991,and the Ph.D.d:\PDF\.pdf

  • Corresponding author: Jing Yan received the B.Eng.degree in automation from Henan University,PRC in 2008.
  • Received: 2009-09-07
Fund Project:

supported by National Basic Research Program of China (973 Program) (No.2010CB731800);Key Project of National Science Foundation of China (No.60934003);National Nature Science Foundation of China (No.61074065);Key Project for Natural Science Research of Hebei Education Department, PRC(No.ZD200908);Key Project for Shanghai Committee of Science and Technology (No.08511501600)

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Target Tracking and Obstacle Avoidance for Multi-agent Networks with Input Constraints

  • Corresponding author: Jing Yan received the B.Eng.degree in automation from Henan University,PRC in 2008.
Fund Project:

supported by National Basic Research Program of China (973 Program) (No.2010CB731800);Key Project of National Science Foundation of China (No.60934003);National Nature Science Foundation of China (No.61074065);Key Project for Natural Science Research of Hebei Education Department, PRC(No.ZD200908);Key Project for Shanghai Committee of Science and Technology (No.08511501600)

Abstract: In this paper, the problems of target tracking and obstacle avoidance for multi-agent networks with input constraints are investigated. When there is a moving obstacle, the control objectives are to make the agents track a moving target and to avoid collisions among agents. First, without considering the input constraints, a novel distributed controller can be obtained based on the potential function. Second, at each sampling time, the control algorithm is optimized. Furthermore, to solve the problem that agents cannot effectively avoid the obstacles in dynamic environment where the obstacles are moving, a new velocity repulsive potential is designed. One advantage of the designed control algorithm is that each agent only requires local knowledge of its neighboring agents. Finally, simulation results are provided to verify the effectiveness of the proposed approach.

Jing Yan, Xin-Ping Guan, Xiao-Yuan Luo and Fu-Xiao Tan. Target Tracking and Obstacle Avoidance for Multi-agent Networks with Input Constraints. International Journal of Automation and Computing, vol. 8, no. 1, pp. 46-53, 2011. doi: 10.1007/s11633-010-0553-1
Citation: Jing Yan, Xin-Ping Guan, Xiao-Yuan Luo and Fu-Xiao Tan. Target Tracking and Obstacle Avoidance for Multi-agent Networks with Input Constraints. International Journal of Automation and Computing, vol. 8, no. 1, pp. 46-53, 2011. doi: 10.1007/s11633-010-0553-1
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