(Dai X Z, Liu G H, Zhang X H. Neural network inverse control of variable frequency speed-regulating system in ??/?? mode[J]. Proc of the CSEE, 2005, 25(7): 109-114.)
(Chen B S, Xu Y D. Nonlinear decoupling control of hysteresis band current-controlled induction motor drive fed by PWM inverter[J]. Acta Automation Sinica, 1994, 20(1): 50-56.)
(Liu G H, Zhang H, Dai X Z. The application of artificial neural network inverse system in speed control of AC variable frequency induction motor system[J]. Trans of China Electrotechnical Society, 2003, 18(3): 67-71.)
(Zhang H, Liu G H. The decoupling control of AC variable frequency motor system based on artificial neural network inverse system method[J]. J of Jiangsu University: Natural Science, 2002, 23(2): 88-91.)
[13]
Narendra K, Gallman P. An iterative method for the identification of nonlinear systems using a Hammerstein model[J]. IEEE Trans on Automatic Control, 1966, 11(3): 546-550.
[14]
Vesely I, Pohl L. Parameters identification of PMSM through Hammerstein model[C]. Proc of the 39th Conf on IEEE Industrial Electronics Society. Vienna, 2013, 11: 3030-3035.
[15]
Jahani M, Mojallali H. Neural network based modeling of traveling wave ultrasonic motor using genetic algorithm[C]. Proc of the 2nd Int Conf on Computer and Automation Engineering. Singapore, 2010, 2: 486-490.
[16]
Kara T, Eker I. Nonlinear modeling and identification of a DC motor for bidirectional operation with real time experiments[J]. Energy Conversion and Management, 2004, 45(7): 1087-1106.
(Ruan Y, Chen B S. Vector control system — A class of realization fo nonlinear decoupling control of induction motors[J]. Electric Drive, 1993(6): 2-8.)
[19]
Xiang W, Sheng J, Chen Z H. Model predictive control based on neural networks for Hammerstein type nonlinear systems[J]. J of Graduate School of the Chinese Academy of Sciences, 2008, 25(2): 224-232.
[20]
Zhu Y. Multivariable system identification for process control[M]. New York: Elsevier Science Inc, 2001: 187-188.
[21]
Jeng J C, Huang H P. Nonparametric identification for control of MIMO Hammerstein systems[J]. Industrial & Engineering Chemistry Research, 2008, 47(17): 6640-6647.
