___

• [1] K. S. Narendra, A. M. Annaswamy, " Stable Adaptive Systems ", Prentice Hail. 1986.
• [2] K.J. Astrom, B. WİUenmark, " Adaptive Control ", Addison-Weslev Publishinı Inc., 1995.
• [3] H. K. Khalil, "Aron//neü7-,ty5 /em. î ",Macmillan PubfİshingCompany, NewYork, 1992.
• [4] J. Tanomaru and S.Omatu, "Process Control by On-Line Trained Neural Controllers. " IEEE Transactions on îndusîriaî Electronics, Vol. 39, No: 6, pp. 511-521, 1992.
• [5] K.J.Hunt, D. Sbarbaro md R.Zbikowski," Neural Networks for Control Systems-A Survey", Aulomalica, Vol,28, No: 6, pp. 1083-1112, 1992.
• [6] K-s-Nare"
• [7] F;C Chen "Back-Propagation Neural Networks for Nonlinear SeIf-Tuning Adaptive Control", IEEE Control Syslems kfagazme. Vol 10(3), pp. 44-48, 1990.
• [8] F.C Chen and H.K Khalil, " Adaptive Control of Nonlinear Systems Using Neural Networks", Int. Joumal ofControl, Vol. 55, No: 6, pp. 1299-1317, 1992.
• [9] F. C. Chen, and H. K. Khalil, " Adaptive Control of A Class of Nonlinear Discrete-Time Systems Using Neural Networks", IEEE Transactıons on Avtomatk Controt, Vol. 40. No: 5. 791-801, 1995. ^ , -.. . -, -. -. -,
• [10] R.B. Sepe and J.H. Lang, "Real-Time Adaptive Control of Permanent Magnet Synchronous Motors, " IEEE Transacîions on Industrial Appîications, Vol. 27, No: 4, pp. 706- 714, 1991. .. - - . . -. .,
• [11] E. Cerretu, A. Consoli and A. Raciti, "A Robust Adaptive Conh-oller for Permanent Magnet Motor Drives in Robotic Applications", IEEE Transaclions on Pover Electronics. Vol. 10, No: l, pp. 62-71, 1995.
• [12] S. Weerasooriya and M.A. El-Sharkawi, "Identification and Control of a DC Motor Usine Back-Propagation Neural Netıvorks, " IEEE Transactions on Energy Conversioıı, Vol. 6, No: f, pp. 663-669, 1991.
• [13] MA. EI-Sharkaıvi, AA. El-Samahy and M.L. EI-Sayed, "High Performance Drive ofDC Brushless Motors Using Neural Networks, " IEEE Transactions on Energy Conversion, Vol. 9, No: 2, pp. 317-322, 1994.
• [14] S. Hayküt, "Neural Networks - A Comprehemive Foundation". MacmiIIan College Publishing Company, Inc., 1994.
• [15] P. J. Werbos, " Backpropagation Through Time: Wlıat it Does and How to Do it?", Proceedings of Ihe IEEE, Vol:78No:10 pp. 1550-1560, 1990.
• [16] G. P. Drago, M. Morando and S. Ridella, "An Adaptive Momentum Backpropagatİon \WSf, NewalCompuling&Applicatians, \o\: 3 pp. 213-221, 1995.
• [17] A. G. Parlos, B. Femandez, A. F. Atiya and et. al. "An Accelerated Leaming Aİgorithm for Multilayer Perceptron Networks" , IEEE Transacîions on Neuraî Networks, Vol: 5, No: 3, pp. 493-497, 1994.
• [18] S. Z. Qin, H. T. Su and T. J. McAvoy, " Comparison of Four Neural Net Leaming Methods for Dynamic System îdentifıcation ", IEEE Transactions on Nevraî Networks. Vol: 3 No: l, pp. 122-130, 1992.
• [19] P.C. Krause, "Anatys is ofElectric Machinery", McGraw-Hill Book Company, 1986.
• [20] S. A. Nasar, l. Boldea and L. E. Unnewehr, "Permanent Magnet, Reluctance and Seîf' Synchronovs Motors", CRC Fress, 1993.