Output Feedback Control of an Uncertain System using an Adaptive Observer

Proceedings of the IEEE Conference on Decision and Control

Volumn 2, Issue , 2003, Pages 1705-1710

  Yang, Bong Jun ^a   Hovakimyan, Naira ^b   Calise, Anthony J ^a  

^a Georgia Institute of Technology   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; APPROXIMATION THEORY; BOUNDARY VALUE PROBLEMS; COMPUTER SIMULATION; FEEDBACK CONTROL; MATHEMATICAL MODELS; MATRIX ALGEBRA; NEURAL NETWORKS; PENDULUMS; THEOREM PROVING;

ADAPTIVE OBSERVER; SINGLE HIDDEN LAYER NEURAL NETWORKS (SHLNN);

UNCERTAIN SYSTEMS;

EID: 1542290177     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. I. Kanellakopoulos. Adaptive control of nonlinear systems: A tutorial. In K.J. Åström, G.C. Goodwin, and P.R. Kumar, editors, Adaptive Control, Filtering, and Signal Processing. Springer-Verlag, 1995.
2. P. Kokotović and M. Arcak. Constructive nonlinear control: a historical perspective. Automatica, 37:637-662, 2001.
3. R. Marino and P. Tomei. Nonlinear Control Design: Geometric, Adaptive, & Robust. Prentice Hall, New Jersey, 1995.
4. K.S. Narendra. Neural networks for control: Theory and practice. Proceedings of the IEEE, 84(10):1385-1996, Oct. 1996.
5. F.L. Lewis, S. Jagannathan, and A. Yeşildirek. Neural Network Control of Robot Manipulators and Nonlinear Systems. Taylor & Francis, 1999.
6. S. Seshagiri and H.K. Khalil. Output feedback control of nonlinear systems using RBF neural networks. IEEE Transactions on Neural Network, 11(1):69-79, Jan 2000.
7. S.S. Ge, C.C. Hang, T.H. Lee, and T. Zhang. Stable Adaptive Neural Network Control. Kluwer Academic Publishers, Boston, 2002.
8. N. Hovakimyan, A.J. Calise, and M. Venkatesh. An adaptive observer design methodology for bounded nonlinear processes. In Proceedings of Conference on Decision and Control, pages 4700-4705, Las Vegas, NV, 2002.
9. Y. Kim and F.K. Lewis. High-Level Feedback Control with Neural Networks. World Scientific, Singapore; River Edge.NJ, 1998.
10. N. Hovakimyan, F. Nardi, A.J. Calise, and H. Lee. Adaptive output feedback control of a class of nonlinear systems using neural networks. International Journal of Control, 74(12): 1161-1169, 2001.
11. S. Sastry. Nonlinear Systems. Springer-Verlag, 1999.
12. E. Lavretsky, N. Hovakimyan, and A.J. Calise. Reconstruction of continuous-time dynamics using delayed outputs and feed-forward neural networks. IEEE Transactions on Automatic Control, 2003. to appear in Sept.
13. N. Hovakimyan, F. Nardi, N. Kim, and A.J. Calise. Adaptive output feedback control of uncertain systems using single hidden layer neural networks. IEEE Transactions on Neural Networks, 13(6), 2002.
14. N. Hovakimyan, B.-J. Yang, and A.J. Calise. An adaptive output feedback control methodology for non-minimum phase systems. In Proceedings of Conference on Decision and Control, pages 949-954, Las Vegas, NV, 2002.
15. Robert G. Bartle. The Elements of Real Analysis. John Wiley & Sons, New York, 2nd edition, 1976.
16. A.J. Calise, N. Hovakimyan, and M. Idan. Adaptive output feedback control of nonlinear systems using neural networks. Automatica, 37(8): 1201-1211, 2001.
17. Nakwan Kim. Improved Methods in Neural Network Based Adaptive Output Feedback Control with Application to Flight Control. PhD thesis, Georgia Institute of Technology, School of Aerospace Engineering, 2003.
18. Fayçal Ikhouane and Miroslav Krstić. Robustness of the tuning functions adaptive backstepping design for linear systems. In Proceedings of Conference on Decision and Control, pages 159-164, New Orleans, LA, 1995.
19. H.K. Khalil. Nonlinear Systems. Prentice-Hall, Upper Saddle River, NJ, 1996.
20. Inverted pendulum, Quanser Inc. http://www.quanser.com/english/html/challenges/fs\_chall\_linear\_flash.htm.