References
- K.-H. Kim, I.-C. Baik, S.-K. Chung, M.-J. Youn, 'Robust Speed Control of Brushless DC Motor Using Adaptive Input-Output Linearization Technique', IEE Proc. Electr. Power Appl., vol.144, no.6, pp. 469-475, Nov. 1997 https://doi.org/10.1049/ip-epa:19971428
- J. Solsona, M.I. Valla, C. Muravchik, 'Nonlinear Control of a Permanent Magnet Synchronous Motor with Disturbance Torque Estimation', IEEE Trans. on Energy Conversion, vol.15, no.2, pp. 163-168, June 2000 https://doi.org/10.1109/60.866994
- G. Zhu, A. Kaddouri, L.-A. Dessaint, O. Akhrif, 'A Nonlinear State Observer for the Sensorless Control of a Permanent-Magnet AC Machine', IEEE Trans. on Industrial Electronics, vol.48, no.6, pp. 1098-1108, Dec. 2001 https://doi.org/10.1109/41.969388
- H.-S. Choi, Y.-H. Park, Y. Cho, and M. Lee, 'Global sliding-mode control:Improved design for a brushless DC motor', IEEE Control Systems Magazine, pp. 27-35, June 2001 https://doi.org/10.1109/37.924795
- R.-J. Wai, 'Total Sliding-Mode Controller for PM Synchronous Servo Motor Drive Using Recurrent Fuzzy Neural Network', IEEE Trans. on Industrial Electronics, vol. 48, no.5, pp. 926-944, Oct. 2001 https://doi.org/10.1109/41.954557
- K.-K. Shyu, C.-K. Lai, Y.-W. Tsai, and D.-I. Yang, 'A Newly Robust Controller Design for the Position Control of Permanent-magnet Synchronous Motor', IEEE Trans. on Industrial Electronics, vol. 49, no. 3, pp. 558-565, Jun. 2002 https://doi.org/10.1109/TIE.2002.1005380
- F.-J. Lin, C.-H. Lin, P.-H. Shen, 'Self-Constructing Fuzzy Neural Network Speed Controller for Permanent-Magnet Synchronous Motor Drive', IEEE Trans. on Fuzzy Systems, vol.9, no.5, pp. 751-759, Oct. 2001 https://doi.org/10.1109/91.963761
- C.-H. Lin, W.-D. Chou, F.-J. Lin, 'Adaptive hybrid control using a recurrent neural network for a linear synchronous motor servo-drive system', IEE Proc.-Control Theory Appl., vol. 148, no. 2, pp. 156-168, March 2001 https://doi.org/10.1049/ip-cta:20010367
- M.E. Elbuluk, L. Tong and I. Husain, 'Neural-Network-Based Model Reference Adaptive Systems for High-Performance Motor Drives and Motion Controls,' IEEE Trans. on Industry Application, vol. 38, no. 3, pp. 879-886, May/June 2002 https://doi.org/10.1109/TIA.2002.1003444
- J. A. Leonard, M. A. Kramer and L. H. Ungar, 'Using radial basis functions to approximate a function and its error bounds,' IEEE Trans. Neural Networks, vol. 3, pp. 624-627, 1992 https://doi.org/10.1109/72.143377