Adversarial Ground Target Tracking Using UAVs with Input Constraints

1. Lawrence, D., Frew, E., Pisano, W.: Lyapunov vector fields for autonomous unmanned aircraft flight control. AIAA J. Guid. Control Dyn. 31(5), 1220–1129 (2008)

   Article  Google Scholar 

2. Nelson, D.R., Barber, D.B., McLain, T.W., Beard, R.W.: Vector field path following for miniature air vehicles. IEEE Trans. on Robotics 23(3), 519–529 (2007)

   Article  Google Scholar 

3. Carole, G.P., Olivier, T., Andre, D., Eric, P.: Receding horizon model-based predictive control for dynamic target tracking: a comparative study. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, Chicago (2009)

4. Frew, E., Lawrence, D.: Cooperative standoff tracking of moving targets using Lyapunov guidance vector fields. J. Guid. Control. Dyn. 31(2), 290–306 (2008)

   Article  Google Scholar 

5. Kingston, D., Beard, R.: UAV splay state configuration for moving targets in wind. In: Advances in Cooperative Control and Optimization, pp. 109–128 (2006)

6. Lee, S.O., Cho, Y.J., Hwang, B.M., You, B.J., Oh, S.R.: A stable target-tracking control for unicycle mobile robots. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1822–1827 (2000)

7. Rafi, F., Khan, S., Shafiq, K., Shah, M.: Autonomous target following by Unmanned Aerial Vehicles. In: Proceedings of SPIE, vol. 6230, pp. 1–8. Orlando, Florida (2006)

8. Chen, H., KC Chang, Agate, C.S.: A Dynamic Path Planning Algorithm For UAV Tracking. SPIE, Bellingham (2009)

   Google Scholar 

9. Chen, H., KC Chang, Agate, C.S.: Tracking with UAV using tangent-plus-Lyapunov vector field guidance. In: 12th International Conference on Information Fusion, Seattle, USA (2009)

10. Leonard, N.E., Fiorelli, E.: Virtual leaders, artificial potentials and coordinated control of groups. In: Proceedings of the 40th IEEE Conference on Decision and Control, vol. 3. Orlando, Florida (2001)

11. Yan, J., Guan, X.P., Tan, F.X.: Target tracking and obstacle avoidance for multi-agent systems. International Journal of Autom 7(4), 550–556 (2010)

    Article  Google Scholar 

12. Tee, K.P., Ge, S.S., Tay, E.H.: Barrier Lyapunov functions for the control of output-constrained nonlinear systems. Automatica 45(4), 918–927 (2009)

    Article  MATH  MathSciNet  Google Scholar 

13. Ruz, J., Arevalo, O., de la Cruz, J.M., Pajares, G.: Using MILP for UAVs trajectory optimization under radar detection risk. In: 2006 IEEE Conference on Emerging Technologies and Factory Automation, pp. 957–960 (2006)

14. Pfeiffer, B., Batta, R., Klamroth, K., Nagi, R.: Path planning for UAVs in the presence of threat zones using probabilistic modeling. Available at http://www.am.uni-erlangen.de/pfeiffer/documents/prob120705.pdf

15. Dubins, L.E.: On curves of minimal length with a constraints on average curvature, and with prescribed initial and terminal positions and tangents. Am. J. Math. 79, 497–516 (1957)

    Article  MATH  MathSciNet  Google Scholar 

16. Boissonnat, J., Crzo, A., Leblond, J.: Shortest paths of bounded curvature in the plane. J. Int. Robot. Syst. 11, 5–20 (1994)

    Article  MATH  Google Scholar 

17. Bui, X.N., Boissonnat, J., Soueres, P., Laumond, J.: Shortest path synthesis for Dubins non-holonomic robot. In: Proceedings of IEEE International Conference on Robotics and Automation, vol. 1, pp. 2–7 (1994)

18. Ding, X.C., Rahmani, A.R., Egerstedt, M.: Multi-UAV convoy protection: an optimal approach to path planning and coordination. IEEE Trans. on Robotics 26(2), 256–268 (2010)

    Article  Google Scholar 

19. Zhu, S.Q., Wang, D.W.: Ground Target Tracking Using UAV with Input Constraints. Automatica (2010, submitted)

20. Techy, L., Woolsey, C.A.: Minimum-time path planning for Unmanned Aerial Vehicles in steady uniform winds. AIAA J. Guid. Control Dyn. 32(6), 1736–1746 (2009)

    Article  Google Scholar 

Download references