Formation Tracking Control for Multi-agent Systems on Directed Graphs

Time-varying formation tracking problem for single-integrator multi-agent system with one leader and several followers on directed graphs are investigated. The followers need to achieve predefined time-varying formation while tracking the leader with unknown control input. Firstly, a time-varying formation tracking control protocol is designed by using neighbor information. Then based on the Lyapunov theory, a proof that the multi-agent systems can achieve the desired time-varying formation tracking is given. Furthermore, a simulation example of formation tracking motion of multi-agent systems composed of three followers and one leader under designed protocol is given. Finally, the protocol is applied to a unmanned ground vehicle(UGV) systems composed of one leader and three followers to demonstrate the effectiveness of the theoretical results.

[1]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1998 .

[2]  Ziyang Meng,et al.  Distributed finite-time attitude containment control for multiple rigid bodies , 2010, Autom..

[3]  Richard M. Murray,et al.  DISTRIBUTED COOPERATIVE CONTROL OF MULTIPLE VEHICLE FORMATIONS USING STRUCTURAL POTENTIAL FUNCTIONS , 2002 .

[4]  Guanghui Wen,et al.  Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs , 2013, IEEE Transactions on Automatic Control.

[5]  Randal W. Beard,et al.  A decentralized scheme for spacecraft formation flying via the virtual structure approach , 2003, Proceedings of the 2003 American Control Conference, 2003..

[6]  Vijay Kumar,et al.  Controlling formations of multiple mobile robots , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[7]  An-Min Zou,et al.  Distributed finite-time velocity-free attitude coordination control for spacecraft formations , 2016, Autom..

[8]  Sung Jin Yoo,et al.  Distributed formation tracking of networked mobile robots under unknown slippage effects , 2015, Autom..

[9]  Jing Guo,et al.  Local control strategy for moving-target-enclosing under dynamically changing network topology , 2010, Syst. Control. Lett..

[10]  Guangming Xie,et al.  Moving formation convergence of a group of mobile robots via decentralised information feedback , 2009, Int. J. Syst. Sci..

[11]  W. Ren Consensus strategies for cooperative control of vehicle formations , 2007 .

[12]  Gerardo Lafferriere,et al.  Decentralized control of vehicle formations , 2005, Syst. Control. Lett..

[13]  Sheida Ghapani,et al.  Distributed average tracking for double-integrator agents without using velocity measurements , 2015, 2015 American Control Conference (ACC).

[14]  Abdelkader Abdessameud,et al.  Formation control of VTOL Unmanned Aerial Vehicles with communication delays , 2011, Autom..

[15]  Kar-Han Tan,et al.  High Precision Formation Control of Mobile Robots Using Virtual Structures , 1997, Auton. Robots.

[16]  Wei Ren,et al.  Formation Keeping and Attitude Alignment for Multiple Spacecraft Through Local Interactions , 2007 .

[17]  Tucker R. Balch,et al.  Behavior-based formation control for multirobot teams , 1998, IEEE Trans. Robotics Autom..

[18]  Wei Ren,et al.  Distributed coordination architecture for multi-robot formation control , 2008, Robotics Auton. Syst..

[19]  Zhang Ren,et al.  Time-varying formation control for mobile robots: Algorithms and experiments , 2017, IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.

[20]  Alessandro Astolfi,et al.  A differential game approach to formation control for a team of agents with one leader , 2015, 2015 American Control Conference (ACC).

[21]  YangQuan Chen,et al.  Formation control: a review and a new consideration , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[22]  Long Wang,et al.  Finite-time formation control for multi-agent systems , 2009, Autom..

[23]  Paul Keng-Chieh Wang Navigation strategies for multiple autonomous mobile robots moving in formation , 1991, J. Field Robotics.

[24]  Randal W. Beard,et al.  Consensus seeking in multiagent systems under dynamically changing interaction topologies , 2005, IEEE Transactions on Automatic Control.

[25]  Yu-Ping Tian,et al.  Formation control of multi-agent systems with heterogeneous communication delays , 2009, Int. J. Syst. Sci..

[26]  Zhang Ren,et al.  Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying , 2017, IEEE Transactions on Industrial Electronics.

[27]  Naomi Ehrich Leonard,et al.  Virtual leaders, artificial potentials and coordinated control of groups , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).