Cooperative control synthesis for moving-target-enclosing with changing topologies

A moving-target-enclosing problem is investigated in the paper, where the velocity of the target is unknown and the neighbor topologies may change over time. Each robot only uses the relative position information of the target and its neighbors that may dynamically change over time. An adaptive scheme is proposed to estimate the velocity of the target. Then a distributed control law for each robot is presented, which consists of two parts: One amounts to ensuring the convergence of the distance between the robots and the target to the desired one and the other is used to achieve the uniform distribution when enclosing the target in motion. Lyapunov-based techniques and graph theory are brought together for rigorous analysis of the convergence and stability properties. Our control strategy is practically implementable with only onboard sensors. Simulations are provided to illustrate our results.

[1]  Brian D. O. Anderson,et al.  The Multi-Agent Rendezvous Problem. Part 2: The Asynchronous Case , 2007, SIAM J. Control. Optim..

[2]  S. Hosoe,et al.  Design of Decentralized Capturing Behavior by Multiple Mobile Robots , 2006, IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06).

[3]  Xiaoming Hu,et al.  A control Lyapunov function approach to multiagent coordination , 2002, IEEE Trans. Robotics Autom..

[4]  Mireille E. Broucke,et al.  Local control strategies for groups of mobile autonomous agents , 2004, IEEE Transactions on Automatic Control.

[5]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

[6]  Magdy A. Bayoumi,et al.  A network of sensor-based framework for automated visual surveillance , 2007, J. Netw. Comput. Appl..

[7]  Brian D. O. Anderson,et al.  The Multi-Agent Rendezvous Problem. Part 1: The Synchronous Case , 2007, SIAM J. Control. Optim..

[8]  Toshiharu Sugie,et al.  Cooperative control for target-capturing task based on a cyclic pursuit strategy , 2007, Autom..

[9]  N. Rouche,et al.  Stability Theory by Liapunov's Direct Method , 1977 .

[10]  Zhiyun Lin,et al.  A hybrid control approach to cooperative target tracking with multiple mobile robots , 2009, 2009 American Control Conference.

[11]  Raúl Ordóñez,et al.  Target tracking using artificial potentials and sliding mode control , 2007, Proceedings of the 2004 American Control Conference.

[12]  A. Sarwal,et al.  Surveillance in an Open Environment by Co-Operative Tracking amongst Sensor Enabled Robots , 2007, 2007 International Conference on Information Acquisition.

[13]  Dimos V. Dimarogonas,et al.  On the Rendezvous Problem for Multiple Nonholonomic Agents , 2007, IEEE Transactions on Automatic Control.

[14]  E.M. Atkins,et al.  A survey of consensus problems in multi-agent coordination , 2005, Proceedings of the 2005, American Control Conference, 2005..

[15]  C. Schumacher.  Ground moving target engagement by cooperative UAVs , 2005, Proceedings of the 2005, American Control Conference, 2005..

[16]  Brian D. O. Anderson,et al.  Control of a three-coleader formation in the plane , 2007, Syst. Control. Lett..

[17]  S. Hara,et al.  Distributed formation control for target-enclosing operations based on a cyclic pursuit strategy , 2008 .

[18]  Brian D. O. Anderson,et al.  Close target reconnaissance using autonomous UAV formations , 2008, 2008 47th IEEE Conference on Decision and Control.