Robust adaptive tracking control via cpbum neural network for MIMO nonlinear systems

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

Volumn 7, Issue , 2004, Pages 4096-4101

  Chuang, Chen Chia ^a   Jeng, Jem Tsong ^b   Lee, Tsu Tian ^c  

^a HWA HSIA INSTITUTE OF TECHNOLOGY   (Taiwan)

^b NATIONAL FORMOSA UNIVERSITY   (Taiwan)

^c NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

CPBUM Neural Network; H disturbance attenuation technique; Nonlinear Control; Robust Adaptive control

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; APPROXIMATION THEORY; CLOSED LOOP CONTROL SYSTEMS; DEGREES OF FREEDOM (MECHANICS); MANIPULATORS; NONLINEAR CONTROL SYSTEMS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

APPROXIMATORS; CPBUM NEURAL NETWORKS; H∞ DISTURBANCE ATTENUATION TECHNIQUE; ROBUST ADAPTIVE CONTROL;

NEURAL NETWORKS;

EID: 6344256714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Chen, F. C. and Khalil, H. K., "Adaptive control of nonlinear systems using neural networks", Int. J. Contr., Vol. 55, No. 3, pp. 1299-1317, 1992.
2. Jeng, J. T., "Nonlinear adaptive inverse control for the magnetic bearing system", Journal of Magnetism and Magnetic Materials, Vol. 209, pp. 186-188, 2000.
3. Schiffmann, W. H. and H. W. Geffers, "Adaptive control of dynamic systems by back propagation networks", Neural. Networks, Vol. 6, pp. 517-524, 1993.
4. Rovithakis, G. A. and M. A. Christodoulou, "Adaptive control of unknown plants using dynamical neural networks", IEEE Trans. Syst. Man, Cyber., Vol. 24, No. 3, pp. 400-411, 1995.
5. Hofland, A. G., Morris, A. J. and G. A. Montaque, "Radial basis function network applied to process control", Proc. of the 1992 American Contr. Conf., pp. 480-484, 1992.
6. Ioannou, P. A. and A. Datta, "Robust adaptive control: a unified approach," Proceedings of the IEEE, Vol. 79, No. 12, pp. 1736-1767, Dec. 1991.
7. Lee T. T. and J. T. Jeng, "The Chebyshev polynomials based unified model neural networks for function approximation", IEEE Trans. Syst. Man, Cyber., Vol. 28, No. 6, pp. 925-935, 1998.
8. Jeng, J. T. and T. T. Lee, "Control of magnetic bearings via the Chebyshev polynomial based unified model neural network", IEEE Trans. on Systems, Man, and Cybernatics Part B:Cybernetics, Vol. 30, No. 1, pp. 85-92, 2000.
9. Poggio, T. and F. Girosi, "Network for approximation and learning", Proceedings of the IEEE, Vol. 78, No. 9, pp. 1481-1497, 1990.
10. A. Isidori, Nonlinear Control Systems, 3rd edition, Springer-Verlag, Berlin, 1995.
11. Ha, Q. P., Rye, D. C. and H. F. D. Whyte, "Fuzzy moving sliding mode control with application to robotic manipulators", Automatica, Vol. 35, pp. 607-616, 1999.