Theory and flight-Test validation of a concurrent-learning adaptive controller

Journal of Guidance, Control, and Dynamics

Volumn 34, Issue 2, 2011, Pages 592-607

  Chowdhary, Girish V ^a   Johnson, Eric N ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONCURRENCY CONTROL; CONTROL THEORY;

ADAPTIVE CONTROL; ADAPTIVE CONTROLLERS; EXPECTED IMPROVEMENTS; LYAPUNOV LIKE ANALYSIS; SYSTEM SIGNALS; TRACKING PERFORMANCE; UNIFORM ULTIMATE BOUNDEDNESS; WEIGHT CONVERGENCE;

MODEL REFERENCE ADAPTIVE CONTROL;

EID: 79952472584     PISSN: 07315090     EISSN: 15333884     Source Type: Journal    
DOI: 10.2514/1.46866     Document Type: Article

References (28)

1. Lewis, F. L., "Nonlinear Network Structures for Feedback Control," Asian Journal of Control, Vol. 1, Dec. 1999, pp. 205-228. doi:10.1111/j.1934-6093.1999.tb00021.x
2. Kim, Y. H., and Lewis, F. L., High Level Feedback Control with Neural Networks,World Scientific Series in Robotics and Intelligent Systems, Vol. 21, World Scientific, Singapore, 1998.
3. Patiño, D. H., Carelli, R., and Kuchen, B. R., "Neural Networks for Advanced Control of Robot Manipulators," IEEE Transactions on Neural Networks, Vol. 13, No. 2, March 2002, pp. 343-354. doi:10.1109/72.991420 (Pubitemid 34475036)
4. Calise, A., Hovakimyan, N., and Idan, M., "Adaptive Output Feedback Control of Nonlinear Systems Using Neural Networks," Automatica, Vol. 37, No. 8, Aug. 2001, pp. 1201-1211. doi:10.1016/S0005-1098(01)00070-X (Pubitemid 32610251)
5. Johnson, E. N., "Limited Authority Adaptive Flight Control," Ph.D. Thesis, Georgia Inst. of Technology, Atlanta, 2000.
6. Johnson, E. N., and Calise, A., "Limited Authority Adaptive Flight Control for Reusable Launch Vehicles," Journal of Guidance, Control, and Dynamics, Vol. 26, No. 6, pp. 906-913. doi:10.2514/2.6934, 2003
7. Johnson, E. N., and Kannan, S. K., "Adaptive Trajectory Control for Autonomous Helicopters," Journal of Guidance, Control, and Dynamics, Vol. 28, No. 3, May-June 2005, pp. 524-538. doi:10.2514/1.6271 (Pubitemid 40737594)
8. Johnson, E., Turbe, M., and Wu, A., edited by S. Kannan, "Flight Results of Autonomous Fixed-Wing UAS Transitions to and from Stationary Hover," AIAA Guidance, Navigation, and Control Conference, AIAA Paper 2006-6775, Aug. 2006.
9. Kannan, S. K., "Adaptive Control of Systems in Cascade with Saturation," Ph.D. Thesis, Georgia Inst. of Technology, Atlanta, 2005.
10. Hovakimyan, N., Yang, B. J., and Calise, A., "Adaptive Output Feedback Control Methodology Applicable to Non-Minimum Phase Nonlinear Systems," Automatica, Vol. 42, No. 4, 2006, pp. 513-522. doi:10.1016/j.automatica.2005.11.001 (Pubitemid 43267646)
11. Cao, C., and Hovakimyan, N., "Design and Analysis of a Novel L1 Adaptive Control Architecture with Guaranteed Transient Performance," IEEE Transactions on Automatic Control, Vol. 53, No. 2, 2008, pp. 586-590. doi:10.1109/TAC.2007.914282 (Pubitemid 351493897)
12. Lavretsky, E., and Wise, K., "Adaptive Flight Control of Manned/ Unmanned Military Aircraft," Proceedings of the American Control Conference, June 2005.
13. Nguyen, N., Krishnakumar, K., Kaneshige, J., and Nespeca, P., "Dynamics and Adaptive Control for Stability Recovery of Damaged Asymmetric Aircraft," AIAA Guidance, Navigation, and Control Conference, AIAA Paper 2006-6049, Keystone, CO, Aug. 2006.
14. Ioannou, P., and Sun, J., Robust Adaptive Control, Prentice-Hall, Upper Saddle River, NJ, 1996.
15. Gang, T., Adaptive Control Design and Analysis, Wiley, New York, 2003.
16. Boyd, S., and Sastry, S., "Necessary and Sufficient Conditions for Parameter Convergence in Adaptive Control," Automatica, Vol. 22, No. 6, 1986, pp. 629-639. doi:10.1016/0005-1098(86)90002-6 (Pubitemid 17527086)
17. Narendra, K., and Annaswamy, A., "A New Adaptive Law for Robust Adaptation without Persistent Excitation," IEEE Transactions on Automatic Control, Vol. 32, No. 2, Feb. 1987, pp. 134-145. doi:10.1109/TAC.1987.1104543 (Pubitemid 17534795)
18. Haykin, S., Neural Networks a Comprehensive Foundation, 2nd ed., Prentice-Hall, Upper Saddle River, NJ, 1998.
19. Ponzyak, A. S., Sanchez, E. N., and Yu, W., Differential Neural Networks for Robust Nonlinear Control, Identification, State Estimation, and Trajectory Tracking, World Scientific, Singapore, 2001.
20. Suykens, J. A. K., Vandewalle, J. P. L., and De Moor, B. L. R., Artificial Neural Networks for Modeling and Control of Non-Linear Systems, Kluwer Academic, Dordrecht, The Netherlands, 1996.
21. Ioannou, P. A., and Kokotovic, P. V., Adaptive Systems with Reduced Models, Springer-Verlag, Berlin, 1983.
22. Volyanskyy, K., Calise, A. J., Yang, B. J., and Lavretsky, E., "An Error Minimization Method in Adaptive Control," AIAA Guidance Navigation and Control Conference, AIAA Paper 2006-6346, Keystone, CO, 2006.
23. Hornik, K., Stinchcombe, M., and White, H., "Multilayer Feedforward Networks are Universal Approximators," Neural Networks, Vol. 2, 1989, pp. 359-366. doi:10.1016/0893-6080(89)90020-8 (Pubitemid 20609008)
24. Strang, G., Linear Algebra and its Applications, 3rd ed., Thomson Learning, San Diego, CA, 1988.
25. Gelb, A., Applied Optimal Estimation, MIT Press, Cambridge, MA, 1974.
26. Hadad, W., and Chellebaonia, V., Nonlinear Dynamical Systems and Control: A Lyapunov Based Approach, Princeton Univ. Press, Princeton, NJ, 2006.
27. Khalil, H., Nonlinear Systems, 3rd ed., Prentice-Hall, Upper Saddle River, NJ, 2001.
28. Berberian, S. K., Introduction to Hilbert Spaces, AMS Chelsea, New York, 1976.