Cooperative target-capturing strategy for multi-vehicle systems with dynamic network topology

This paper deals with cooperative target-capturing problem for multi-vehicle systems with dynamic network topology. Firstly, we introduce a dynamic network topology that depends on relative distance between the vehicles. Secondly, we propose the target-capturing strategy based on consensus seeking with dynamic network topology. In proposed strategy, at least one vehicle can acquire the information of the target-object and network topology among vehicles is time-varying but always connected. To analyze the convergence of target-capturing behavior with dynamic network topology, algebraic graph theory and matrix theory are utilized. Finally, numerical simulation results and experimental results are provided that demonstrate the effectiveness of the proposed method.

[1]  R. Beard,et al.  Consensus of information under dynamically changing interaction topologies , 2004, Proceedings of the 2004 American Control Conference.

[2]  Vijay Kumar,et al.  Decentralized Algorithms for Multi-Robot Manipulation via Caging , 2004, Int. J. Robotics Res..

[3]  George J. Pappas,et al.  Flocking in Fixed and Switching Networks , 2007, IEEE Transactions on Automatic Control.

[4]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[5]  Jie Lin,et al.  Coordination of groups of mobile autonomous agents using nearest neighbor rules , 2003, IEEE Trans. Autom. Control..

[6]  Toru Namerikawa,et al.  Formation Control of Nonholonomic Multi-Vehicle Systems based on Virtual Structure , 2008 .

[7]  Mireille E. Broucke,et al.  Formations of vehicles in cyclic pursuit , 2004, IEEE Transactions on Automatic Control.

[8]  Gianluca Antonelli,et al.  The Entrapment/Escorting Mission , 2008, IEEE Robotics & Automation Magazine.

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

[10]  Toru Namerikawa,et al.  Consensus filter based target-enclosing strategies for multiple nonholonomic vehicles , 2008, 2008 47th IEEE Conference on Decision and Control.

[11]  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).

[12]  Wei Ren Consensus Seeking in Multi-vehicle Systems with a Time-varying Reference State , 2007, 2007 American Control Conference.

[13]  Wei Ren,et al.  Multi-vehicle consensus with a time-varying reference state , 2007, Syst. Control. Lett..

[14]  D.M. Stipanovic,et al.  On synchronization and collision avoidance for mechanical systems , 2008, 2008 American Control Conference.