동적 센서네트워크에서의 유동적 경계선 추종 제어

Dynamic Boundary Tracking Control in Active Sensor Network

  • 발행 : 2008.09.01

초록

In this paper, the motion coordination algorithm of mobile agents in active sensor network is proposed to track the dynamic boundary for environmental monitoring. While most of dynamic boundary tracking algorithms in the literature were studied under the assumption that the boundary and/or its evolving rate is known a priori, the proposed algorithm is assumed that the individual active agent can measure the state of environment locally without any information of the boundary. When the boundary is evolving dynamically, the formation of active agents is designed to achieve two objectives. One is to track boundary layer based on the measured information and a small deviation. The other is to maintain a uniform distance between adjacent agents. The algorithm structure based on a state diagram is proposed to achieve these two objectives. Finally, it will be shown in the simulations that all given agents converge to a desired boundary layer and maintain a formation along the boundary. (e.g., a circle, an ellipse, a triangle and a rectangle)

키워드

참고문헌

  1. D. W. Casbeer, R. W. Beard, T. W. McLain, and S. Li, "Forest fire monitoring with multiple small uavs," in Proc. American Control Conf., Portland, Oregon USA, pp. 3530-3535, June 8-10 2005
  2. Yuan Cao and Rafael Fierro, ""Dynamic Boundary Tracking Using Dynamic Sensor Nets,"" in Proc. 44th IEEE Conf. on Decision and Control, Manchester Grand Hyatt Hotel, San Diego, CA, USA, December 13-15, pp.703-708, 2006
  3. D. Marthaler and A. L. Bertozzi, "Tracking environmental level sets with autonomous vehicles," in Recent Developments in Cooperative Control and Optimization, S. Butenko, R. Murphey, and P. M. Pardalos, Eds. Kluwer Academic Publishers, 2003
  4. L. Chaimowicz, N. Michael, and V. Kumar, "Controlling swarms of robots using interpolated implicit functions, " Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2498-2503, April 2005
  5. S. Susca, S. Martinez, and F. Bullo, "Monitoring environmental boundaries with a robotic sensor network, " in Proc. American Control Conf., Minneapolis, MN, pp. 2072-2077, June 14-16 2006
  6. A. Ganguli, S. Susca, S. Martinez, F. Bullo, and J. Corties, "On collective motion in sensor networks: Sample problems and distributed algorithms," in Proc. 44th IEEE Conf. on Decision and Control, and the European Control Conf., Seville, Spain, pp. 4239- 244., December 12-15 2005
  7. Hiromasa Takahashi, Hiroaki Nishi, "Autonomous Decentralized Control for Formation of Multiple Mobile Robots Considering Ability of Robot," in IEEE Transactions on Industrial Electronics., Vol. 51(6), pp.1272-1279, December. 2004 https://doi.org/10.1109/TIE.2004.837848
  8. S. Boyd, L. El Ghaoui, E. Feron and V. Balakrishnan, "Linear Matrix Inequalities in System and Control Theory", SIAM Studies in Applied Mathematics, 1994