Cooperative Control of Unmanned Vehicle Formations

We review the enabling theory for the decentralized and cooperative control of formations of unmanned, autonomous vehicles. The decentralized and cooperative formation control approach combines recent results from dynamical system theory, control theory, and algebraic graph theory. The stability of vehicle formations is discussed, and the applicability of the technology concept to a variety of applications is demonstrated.

[1]  Jesse Leitner,et al.  Formation Flying: The Future of Remote Sensing from Space , 2004 .

[2]  T. Samad,et al.  Formations of formations: hierarchy and stability , 2004, Proceedings of the 2004 American Control Conference.

[3]  Wei Zhang,et al.  Vehicle networks: achieving regular formation , 2003, Proceedings of the 2003 American Control Conference, 2003..

[4]  Jonathan P. How,et al.  Aircraft trajectory planning with collision avoidance using mixed integer linear programming , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[5]  Kostas J. Kyriakopoulos,et al.  Nonholonomic navigation and control of cooperating mobile manipulators , 2003, IEEE Trans. Robotics Autom..

[6]  R. Murray,et al.  Robust connectivity of networked vehicles , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[7]  J. A. Fax,et al.  Graph Laplacians and Stabilization of Vehicle Formations , 2002 .

[8]  Rodney Teo,et al.  Decentralized overlapping control of a formation of unmanned aerial vehicles , 2004, Autom..

[9]  Gerardo Lafferriere,et al.  Flocks and Formations , 2005 .

[10]  G. Lafferriere,et al.  Graph theoretic methods in the stability of vehicle formations , 2004, Proceedings of the 2004 American Control Conference.

[11]  S. Glavaski,et al.  Connectivity and convergence of formations , 2005, Proceedings of the 2005, American Control Conference, 2005..

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

[13]  Herbert G. Tanner Flocking with obstacle avoidance in switching networks of interconnected vehicles , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

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

[15]  J. A. Fax Optimal and Cooperative Control of Vehicle Formations , 2002 .

[16]  George J. Pappas,et al.  Experimental cooperative control of fixed-wing unmanned aerial vehicles , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[17]  J.J.P. Veerman,et al.  Stable motions of vehicle formations , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[18]  Jonathan P. How,et al.  UAV Trajectory Design Using Total Field Collision Avoidance , 2003 .

[19]  Vijay Kumar,et al.  Leader-to-formation stability , 2004, IEEE Transactions on Robotics and Automation.

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

[21]  John Bristow,et al.  NASA/DoD University Nano-Satellites for Distributed Spacecraft Control , 1999 .

[22]  J. Hedrick,et al.  String stability of interconnected systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[23]  George J. Pappas,et al.  Hybrid Modeling and Experimental Cooperative Control of Multiple Unmanned Aerial Vehicles , 2004 .

[24]  D. Kuang,et al.  Autonomous Formation Flyer (AFF) Sensor Technology Development , 1998 .

[25]  Craig W. Reynolds Steering Behaviors For Autonomous Characters , 1999 .

[26]  W. Wonham Linear Multivariable Control: A Geometric Approach , 1974 .