參考文獻 |
[1] Y. Zou and Z. Zheng, “A robust adaptive RBFNN augmenting backstepping
control approach for a model-scaled helicopter,” IEEE Trans. Control Syst.
Technol., vol. 23, no. 6, pp. 2344–2352, Nov. 2015.
[2] C. H. Lin, M. K. Lin, R. C. Wu, and S. Y. Huang, “Integral backstepping
control for a PMSM drive using adaptive FNN uncertainty observer,” in
Proc. IEEE Conf. Ind. Electron., pp. 668-673, May 2012.
[3] L. Yi and P. Yonghong, “Application of fuzzy neural network in the speed
control system of induction motor,” in Proc. IEEE Conf. Comput. Sci.
Autom. Eng., pp. 673-677, Jun. 2011.
[4] H. H. Choi, H. M. Yun, and Y. Kim, “ Implementation of evolutionary
fuzzy PID speed controller for PM synchronous motor,” IEEE Trans. Ind.
Informat., vol. 11, no. 2, pp. 540–547, Apr. 2015.
[5] Google DeepMind, ht tp: / /marketbusinessnews.com/ar t i f icial -
intelligence-stunned-experts-and-won-at-toughest-game-ever/122552
[6] Roborace, http://www.pcworld.com/article/3050716/meet-robocarthe-
dr ive r l e s s - r a c ing -car- for -the- a i -powe r ed - robor a c e .html
[7] Sony, ht tp: / /www.ki tguru.net /per ipherals/anton -shi lov/sonys -
playstation-vr-headset-will-cost-like-a-new-game-console-says-company/
[8] J. C. Salmon and B. W. Williams, “A split-wound induction motor design to
improve the reliability of PWM inverter drives,” IEEE Trans. Ind. Appl., vol.
26, no. 1, pp. 143–150, Jan./Feb. 1990.
[9] R. O. C. Lyra and T. A. Lipo, “Torque density improvement in a six-phase
induction motor with third harmonic current injection,” IEEE Trans. Ind.
Appl., vol. 38, no. 5, pp. 1351–1360, Sep./Oct. 2002.
[10] S. Karugaba and O. Ojo, “A carrier-based PWM modulation technique for
balanced and unbalanced reference voltages in multiphase voltage-source
inverters,” IEEE Trans. Ind. Appl., vol. 48, no. 6, pp. 2102–2019, Nov./Dec.
2012.
95
[11] W. Cao, B. C. Mecrow, G. J. Atkinson, J. W. Bennett, and D. J. Atkinson,
“Overview of electric motor technologies used for more electric aircraft
(MEA),” IEEE Trans. Ind. Electron., vol. 59, no. 9, pp. 3523–3531, Sep.
2012.
[12] A. Cavagnino, Z. Li, A. Tenconi, and S. Vaschetto, “Integrated generator
for more electric engine: Design and testing of a scaled size prototype,”
IEEE Trans. Ind. Appl., vol. 49, no. 5, pp. 2034–2043, Sep./Oct. 2013.
[13] H. S. Che, E. Levi , M. Jones, M. J. Duran, W. P. Hew, and N. A. Rahim,
“Operation of a six-Phase induction machine using series-connected
machine-side converters,” IEEE Trans. Ind. Electron.,vol. 61, no. 1, pp.
164–176, Jan. 2014.
[14] E. Levi, “Multiphase electric machines for variable-speed applications,”
IEEE Trans. Ind. Electron., vol. 55, no. 5, pp. 1893–1909, May 2008.
[15] J. S. R. Jang, C. T. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing:
A Computational Approach to Learning and Machine Intelligence.
Englewood Cliffs, NJ: Prentice-Hall, 1997.
[16] F. J. Lin, L. T. Teng, C. Y. Chen, and Y. C. Hung, “FPGA-based adaptive
backstepping control system using RBFN for linear induction motor
drive,” IET Electr. Power Appl., vol. 2, no. 6, pp. 325-340, Nov. 2008.
[17] C. N. Huang and A. Chung, “An intelligent design for a PID controller for
nonlinear systems,” Asian J. Control, vol. 18, no. 1, pp. 1–9, Mar. 2016.
[18] L. Ciabattoni, M. L. Corradini, M. Grisostomi, G. Ippoliti, S. Longhi and
G. Orlando, “A discrete-time VS controller based on RBF neural networks
for PMSM drives,” Asian J. Control, vol. 16, no. 2, pp. 396–408, Mar.
2014.
[19] J. C. Patra and R. N. Pal, “A functional link artificial neural network for
adaptive channel equalization,” Signal Processing, vol. 43, pp. 181-195,
May 1995.
[20] K. A. Toh and W. Y. Yau, “Fingerprint and speaker verification decisions
96
fusion using a functional link network,” IEEE Trans. Syst., Man, and
Cybern. C, Appl. Rev., vol. 35, no. 3, pp. 357-370, Aug. 2005.
[21] F. J. Lin, P. H. Chou, Y. C. Hung, and W. M. Wang, “Field-programmable
gate array-based functional link radial basis function network control for
permanent magnet linear synchronous motor servo drive system,” IET
Electr. Power Appl., vol. 4, no. 5, pp. 357-372, May 2010.
[22] D. Zhao, W. Chen, J. Wu, and J. Li, “Globally stable adaptive tracking
control for uncertain strict-feedback systems based on neural network
approximation,” Asian J. Control, vol. 18, no. 1, pp. 1–12, Mar. 2016.
[23] F. J. Lin, L. T. Teng, and C. K. Chang, “Adaptive backstepping control for
linear-induction-motor drive using FPGA,” IET Electr. Power Appl., vol.
153, no. 4, pp. 483–492, Jul. 2006.
[24] C. C. Tsai, Y. Y. Li, F. C. Tai, and C. H. Lu, “Intelligent adaptive motion
control using fuzzy basis function networks for electric unicycle,” Asian J.
Control, vol. 17, no. 3, pp. 993–156, May 2015.
[25] H. J. Shieh and K. K. Shyu, “Nonlinear sliding-mode torque control with
adaptive backstepping approach for induction motor drive,” IEEE Trans.
Ind. Electron., vol. 46, no. 2, pp. 380–389, May 1999.
[26] F. J. Lin and C. C. Lee, “Adaptive backstepping control for linear
induction motor drive to track periodic references,” IEE Proc., Electr.
Power Appl., vol. 147, no. 6, pp. 449–458, Nov. 2000.
[27] J. J. E. Slotine, and W. Li, Applied nonlinear control. Englewodd Cliffs,
NJ: Prentice-Hall, 1991.
[28] MS320F28335, TMS320F28334, TMS320F28332, TMS320F28235,
TMS320F28234, TMS320F28232 Digital Signal Controllers (DSCs) Data
Manual, Texas Instruments, Jun. 2007.
[29] 楊凱捷,“利用遞迴式模糊類神經小腦模型網路之錯誤容忍控制六相
永磁同步馬達定位驅動系統”,碩士論文,中央大學電機系,民國一
97
百零三年。
[30] 許尚文,“六相永磁式同步電動機之設計與控制”,碩士論文,台灣
科技大學電機系,民國九十五年。
[31] 王俊超,“六相永磁式同步電動機驅動器之分析與設計”,碩士論文,
台灣科技大學電機系,民國九十四年。
[32] 吳泰廷,“六相永磁式同步電動機驅動系統之故障後控制策略”,碩
士論文,台灣科技大學電機系,民國九十八年。
[33] B. K. Bose, Modern Power Electronics and AC Drives, Prentice Hall,
Saddle River, NJ, 2002.
[34] S. J. Kim, et al., “Robust torque control of DC link voltage fluctuation for
SynRM considering inductances with magnetic saturation,” IEEE Trans.
Magn., vol. 46, no. 9, pp. 3705–3708, Jun 2010.
[35] F. J. Lin, Y. C. Hung and M. T. Tsai, “Fault-tolerant control for six-phase
PMSM drive system via intelligent complementary sliding-mode control
using TSKFNN-AMF”, IEEE Trans. Ind. Electron., vol. 60, no. 12, pp.
5747–5762, Dec. 2013.
[36] F. J. Lin, Y. C. Hung, J. C. Hwang and M. T. Tsai, “Fault-tolerant control
of a six-phase motor drive system using a Takagi–Sugeno–Kang type
fuzzy neural network with asymmetric membership function”, IEEE Trans.
Power Electron., vol. 28, no. 7, pp. 3557–3572, Jul. 2013.
[37] 劉昌煥,『交流電機控制:向量控制與直接轉矩控制原理-第四版』,
東華書局股份有限公司,2013年。
[38] P. V. Kokotovic, “The joy of feedback: Nonlinear and adaptive,” IEEE
Control. Syst. Mag., vol. 12, pp. 7–17, Jun. 1992.
[39] M. Kristic, I. Kanellakopoulis, and P. V. Kokotovic, Nonlinear and
Adaptive Control Design, New York: Wiley, 1995.
[40] C. K. Lin, L. C. Fu, T. H. Liu, and B. H. Chou, “Passivity-based adaptive
backstepping PI sliding-mode position control for synchronous reluctance
98
motor drives,” Asian Control Conf. 8th, pp. 245-250, May 2011.
[41] R. J. Wai and H. H. Chang, “Backstepping wavelet neural network control
for indirect field-oriented induction motor drive,” IEEE Trans. Neural
Netw., vol. 15, no. 2, pp. 367–82, Mar. 2004.
[42] Z. Li, C. Y. Su, G. Li, and H. Su, “Fuzzy approximation-based adaptive
backstepping control of an exoskeleton for human upper limbs,” IEEE
Trans. Fuzzy Syst., vol. 23, no. 3, pp. 555–566, Jun. 2015.
[43] C. C. Liao, C. H. Chen, Y. F. Peng, and S. C. Wu, “A combined
backstepping and wavelet neural network control approach for mechanical
system,” Asian Control Conf. (ASCC) 9th, pp. 1–6, Jun. 2013.
[44] D. Mayne, “Nonlinear and Adaptive Control Design-M. Kristic, I.
Kanellakopoulis, and P. V. Kokotovic (New York: Wiley, 1995),” IEEE
Trans. Autom. Control, vol. 41, no. 12, pp. 1849–1853, Dec.1996. (Book
Review).
[45] J. Linares-Flores, C. García-Rodríguez, H. Sira-Ramírez, and O. D.
Ramírez-Cárdenas, “Robust backstepping tracking controller for
low-speed PMSM positioning system: design, analysis, and
implementation, ” IEEE Trans. Ind. Informat., vol. 11, no. 5, pp.
1130–1141, Oct. 2015.
[46] J. A. Primbs, V. Nevistic, and J. C. Doyle, “Nonlinear optimal control: a
control Lyapunov function and receding horizon perspective,” Asian J.
Control, vol. 1, no. 1, pp. 14–24, Mar. 1999.
[47] C. C. Yang, “Robust adaptive terminal sliding mode synchronized control
for a class of non-autonomous chaotic systems,” Asian J. Control, vol. 15,
no. 6, pp. 1677–1685, Nov. 2013.
[48] 林俊良,『智慧型控制-分析與設計』,台北市,全華圖書股份有限公
司,2008年。
[49] A. Sahoo, H. Xu, and S. Jagannathan, “Adaptive neural network-based
99
event-triggered control of single-input single-output nonlinear
discrete-time systems,” IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no.
1, pp. 151–164, Jan. 2016.
[50] C. T. Lin and C. S. George Lee, Neural Fuzzy Systems. Englewood Cliffs,
NJ, USA: Prentice-Hall, 1996.
[51] F. J. Lin and P. H. Chou, “Robust Fuzzy-neural-network sliding-mode
control for two-axis motion control system,” IEEE Trans. Ind. Electron.,
vol. 53, no. 4, pp. 1209–1225, Jun. 2006.
[52] Y. Y. Lin, J. Y. Chang, and C. T. Lin, “Identification and prediction of
dynamic systems using an interactively recurrent self-evolving fuzzy
neural network,” IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 2, pp.
310–321, Feb. 2013.
[53] M. Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems.
Addison-Wiley, 2005.
[54] 王進德,『類神經網路與模糊控制理論入門與應用』,台北市,全華科
技圖書股份有限公司,2008年。
[55] F. J. Lin, R. J. Wai, and R. Y. Duan, “Fuzzy neural networks for
identification and control of ultrasonic motor drive with LLCC resonant
technique,” IEEE Trans. Ind. Electron., vol. 46, no. 5, pp. 999–1011, Oct.
1999.
[56] Y. H. Pao, S. M. Phillips, and D. J. Sobajic, “Neural-net computing and
intelligent control systems,” Int. J. Control., vol. 56, no. 2, pp. 263–289,
1992.
[57] J. C. Patra and R. N. Pal, “Functional link artificial neural network-based
adaptive channel equalization of nonlinear channels with QAM signal, ”
IEEE Int. Conf. on Syst., Man, and Cybern., vol. 3, pp. 2081–2086, Oct.
1995.
[58] J. C. Patra, R. N. Pal, B. N. Chatterji, and G. Panda, “Identification of
100
nonlinear dynamic systems using functional link artificial neural
networks,” IEEE Trans. Syst., Man, and Cybern. B, Cybern., vol. 29, no.
1, Apr. 1999.
[59] S. Chen, C. F. N. Cowan, and P. M. Grant, “Orthogonal least squares
learning algorithm for radial basis function networks,” IEEE Trans. Neural
Netw., vol. 2, no. 1, pp. 302-309, Mar. 1991.
[60] J. S. R. Jang and C. T. Sun, “Functional equivalence between radial basis
function networks and fuzzy inference systems,” IEEE Trans. Neural
Netw., vol. 4, no. 4, pp. 156-159, Mar. 1993.
[61] H. Yu, T. Xie, S. Paszczyñski, and B. M. Wilamowski, “Advantages of
radial basis function networks for dynamic system design” IEEE Trans.
Ind. Electron., vol. 58, no. 12, pp. 5438–5450, Dec. 2011.
[62] J. X. Peng, K. Li, and D. S. Huang, “A hybrid forward algorithm for RBF
neural network construction,” IEEE Trans. Neural Netw., vol. 17, no. 6, pp.
1439–1451, Nov. 2006.
[63] P. H. Shen and F. J. Lin, “Intelligent backstepping sliding-mode control
using RBFN for two-axis motion control system,” IET Electr. Power Appl.,
vol. 152, no. 5, pp. 1321–1342, Sep. 2005.
[64] J. Tian, M. Li, F. Chen, and N. Feng, “Learning subspace-based RBFNN
using coevolutionary algorithm for complex classification tasks,” IEEE
Trans. Neural Netw. Learn. Syst., vol. 27, no. 1, pp. 47-61, Jan. 2016.
[65] F. J. Lin, L. T. Teng, P. H. Shieh, and Y. F. Li, “Intelligent controlled
wind-turbine emulator and induction-generator system using RBFN,” IET
Electr. Power Appl., vol. 153, no. 4, pp. 608–618, Jul. 2006.
[66] T. Pajchrowski, K. Zawirski, and K. Nowopolski, “Neural speed controller
trained online by means of modified RPROP algorithm,” IEEE Trans. Ind.
Informat., vol. 11, no. 2, pp. 560–568, Apr. 2015. |