[1] [1] WU S Q, ER M J. Dynamic fuzzy neural networks-a novel approach to function approximation ［J］. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000,30(2):358-364.

[2] [2] WU S Q, ER M J, GAO Y. A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks ［J］. IEEE Transactions on Fuzzy Systems, 2001,19(4):578-594.

[3] [3] GAO Y, ER M J, YANG S. Adaptive control of robot manipulators using fuzzy neural networks ［J］. IEEE Transactions on Industrial Electronics, 2001,48(6):1274-1278.

[4] [4] WANG J S, LEE C S G. Self-adaptive recurrent neuro-fuzzy control of an autonomous underwater vehicle ［J］. IEEE Transactions on Robotics and Automation, 2004,19(2):283-295.

[5] [5] SUN Q, CHENG M. Nonlinear modeling for doubly salient permanent magnetic motor based on fuzzy neural network ［J］. Control Theory & Applications,2007,27(4):601-605. (in Chinese)

[6] [6] JINHYUN. Accurate modeling and robust hovering control for a Quad-rotor VTOL aircraft ［J］. Intelligent Robot System, 2004,57:9-26.

[7] [7] TAYEBI A,MCGILVRAY S. Attitude stablilization of a VIOL quadrotor aircraft ［J］. IEEE Transaction on Control Systems Technology, 2006,14:562-571.

[8] [8] DAEWON L,JIN KIM H,SHANKAR S. Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter ［J］. International Journal of Control, Automation, and Systems, 2009, 3:418-428.

[9] [9] WANG C H,CHENG C S,LEE T T. Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN) ［J］. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004,34(3):1462-1477.

[10] [10] LI D, CHEN X J, XU ZH J, et al.. Type-II fuzzy neural network with self-organizing recurrent intervals for dynamic time-varying system identification［J］. Opt. Precision Eng., 2011,19(6):1406-1412.(in chinese)

[11] [11] CHEN X J, LI D, BAI Y, et al..Application of type-II fuzzy neural network to adaptive double axis motion control system［J］. Opt. Precision Eng., 2011,19(7):1644-1650. (in Chinese)

[12] [12] FAA J L,PO H C, PO H S, et al..Robust control of an LUSM-based x-y-tha motion control stage using an adaptive interval type-2 fuzzy neural network ［J］. IEEE Transactions on Fuzzy Systems,2009,1(17):24-38.

[13] [13] JI H L, QIU J H.Semi-active control for structural vibration of cantilever beam based on TMS320F2812［J］. Opt. Precision Eng., 2009,17(1):126-131.(in Chinese)

[14] [14] YU F X, LIAN H, ZHAGN L J. The application of the fuzzy neural network controller for the flighter pose control［J］. Aeronautics Control,1999(1):43-49. (in Chinese)