[1] TONG S F, JIANG H L, LIU Y Q. Optimum design of bandwidth for the APT coarse tracking assembly in free space laser communication[J].Opto-Electronic Engineering, 2007, 34(9):16-20(in Chinese).
[2] SONG Y S, TONG S F, JIANG H L, et al. Variable structure control technology of the fine tracking assembly in airborne laser communication system[J]. Infrared and Laser Engineering, 2010, 39(5): 934-938(in Chinese).
[3] LI M, AI Y, CAO Y. Research of fine tracking servo system for FSO terminal[J]. Laser Technology, 2009, 33(3): 262-265(in Chinese).
[4] CAO Y. Self-adjusting fuzzy variable structure control of optical axis stabilization for airborne laser communication[J]. Infrared and Laser Engineering, 2014, 43(10): 3373-3377(in Chinese).
[5] SHAN W T, CHEN X A, HE Y, et al. Application of immune genetic algorithm based fuzzy RBF neural network in high-speed motorized spindles[J]. Journal of Mechanical Engineering, 2013, 49(23): 167-173(in Chinese). doi: 10.3901/JME.2013.23.167
[6] SUN Y K, ZHANG Y, HUANG Y H, et al. Application of dynamic recursive fuzzy neural network based on immune genetic algorithm to fermentation process[J]. Information and Control, 2011, 40(1): 110-115(in Chinese).
[7] WANG T H, LI Y, WANG F. Study of PID controller to servo system base on fuzzy-neural network[J]. Fire Control & Command Control, 2014, 39(4): 153-156(in Chinese).
[8] ZHANG Y, ZHOU C X. Application of improved fuzzy neural network PID controller in brushless DC motor control[J]. Computer Simulation, 2012, 29(5): 77-80(in Chinese).
[9] LI J Q, YU L. Using BP neural networks for the simulation of energy consumption[C]//2014 IEEE International Conference on Systems, Man and Cybernetics.New York, USA: IEEE, 2014: 3542-3547.
[10] CAO Y. Self-adjusting fuzzy variable structure control of optical axis stabilization for airborne laser communication[J].Infrared and Laser Engineering, 2014, 43(10): 3373-3377(in Chinese).
[11] HE J, WEN J G, HOU W. Control and simulation of servo based on fuzzy neural network PID algorithm[J]. Journal of North University of China(Natural Science Edition), 2016, 37(2): 150-156(in Chinese).
[12] WANG M H, LIANG YY. Fuzzy-PI controller for direct torque control drive system of SRM[J]. Electric Drive, 2010, 40(1): 51-54(in Chinese).
[13] CAO X Q, ZHU J G, TANG R Y. Permanent magnet synchronous motor vector control system based on fuzzy radial basis function neural network[J]. Proceedings of The Csee, 2006, 26(1): 137-141(in Chinese).
[14] CUI S M, ZHAO M R, SONG L, et al. Infrared image edge extraction based on fuzzy neural network[J]. Laser & Infrared, 2012, 42(9): 1063-1067(in Chinese).
[15] DANG M H, GUO L. Research on PID PMLSM control algorithm based on fuzzy neural network[J].Journal of Zhejiang Sci-Tech University(Natural Sciences Edition), 2016, 35(1):52-57(in Chinese).
[16] ZHANG M F, CAI J W. Application of fuzzy RBF neural network PID algorithm in DVD pick-up head control[J].Laser Journal, 2015, 36(6): 108-110(in Chinese).