1 |
J. M. Mendel and R. I. B. John, "Type-2 fuzzy sets made simple," IEEE Trans. Fuzzy Syst., Vol. 10, No. 2, pp. 117-127, Apr. 2002.
DOI
ScienceOn
|
2 |
J. M. Mendel, R. I. B. John, and F. Liu, "Interval type-2 fuzzy logic systems made simple," IEEE Trans. Fuzzy Syst., Vol. 14, No. 6, pp. 808-821, Dec. 2006.
DOI
ScienceOn
|
3 |
J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Englewood Cliffs, NJ: Prentice-Hall, 2001.
|
4 |
N. N. Karnik and J. M. Mendel, "Centroid of a type-2 fuzzy set," Inf. Sci., Vol. 132, No. 1, pp. 195-220, 2001.
DOI
ScienceOn
|
5 |
Q. Liang and J. M. Mendel, "Interval type-2 fuzzy logic systems: Theory and design," IEEE Trans. Fuzzy Syst., Vol. 8, No. 5, pp. 535-550, Oct. 2000.
DOI
ScienceOn
|
6 |
M. Singh, S. Srivastava, J. R. P. Gupta, and M. Hanmandlu, "A type-2 fuzzy neural model based control of a nonlinear system," IEEE Int. Conf. Cybern. Intell. Syst., Vol. 2, pp. 1352-1356, 2004.
|
7 |
M. Karakose and E. Akin, "Type-2 fuzzy activation function for multilayer feedforward neural networks," IEEE Int. Conf. Syst., Man Cybern., Vol. 4, pp. 3762-3767, Oct. 10-13, 2004.
|
8 |
C. Lynch, H. Hagras, and V. Callaghan, "Using uncertainty bounds in the design of an embedded real-time type-2 neuro-fuzzy speed controller for marine diesel engines," IEEE Int. Conf. Fuzzy Syst., pp. 1446-1453, Jul. 2006.
|
9 |
C. H. Wang, C. S. Cheng, and T. T. Lee, "Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)," IEEE Trans. Syst., Man, Cybern. B, Cybern., Vol. 34, No. 3, pp. 1462-1477, Jun. 2004.
DOI
ScienceOn
|
10 |
I. Daubechies, "Orthonormal bases of compactly supported wavelets," Comm. Pure & Appl. Math., Vol. 41, No. 7, pp. 909-996, 1988.
DOI
|
11 |
T. Yamakawa, E. Uchino, and T. Samatsu, "Wavelet neural networks employing over-complete number of compactly supported nonorthogonal wavelets and their applications," IEEE Int. Conf. Neural Networks, Vol. 3, pp. 1391-1396, 1994.
|
12 |
C. F. Juang and C. T. Lin, "An on-line self-constructing neural fuzzy inference network and its applications," IEEE Trans. Fuzzy Syst., Vol. 6, No. 1, pp. 12-32, Feb. 1998.
DOI
ScienceOn
|
13 |
V. V. Cross and T. A. Sudkamp, Similarity and Compatibility in Fuzzy Set Theory: Assessment and Application, Heidelberg, Germany: Physica-Verlag, 2002.
|
14 |
D. Wu and J. M. Mendel, "A vector similarity measure for interval type-2 fuzzy sets," IEEE Int. Conf. Fuzzy Syst., pp. 1-6, Jul. 2007.
|
15 |
J. J. E. Slotine and W. Li, Applied Nonlinear Control, Englewood Cliffs, NJ: Prentice-Hall, 1991.
|
16 |
K. J. Astrom and B. Wittenmark, Adaptive Control, New York: Addison Wesley, 1995.
|
17 |
B. S. Chen and C. H. Lee, and Y.-C. Chang, " tracking design of uncertain nonlinear SISO systems: Adaptive fuzzy approach," IEEE Trans. Fuzzy Syst., Vol. 4, No. 1, pp. 32-43, Feb. 1996.
DOI
ScienceOn
|
18 |
A. Rubaai, "Direct adaptive fuzzy control design achieving tracking for high performance servo drives," IEEE Trans. Energy Convers., Vol. 14, No. 4, pp. 1199-1208, Dec. 1999.
DOI
ScienceOn
|
19 |
C. Chang and B. S. Chen, "A nonlinear adaptive tracking control design in robotic systems via neural networks," IEEE Trans. Contr. Syst. Technol., Vol. 5, No. 1, pp. 23-29, 1997.
|
20 |
M. C. Hwang, X. Hu, and Y. Shrivastava, "Adaptive neural network tracking controller for electrically driven manipulators," Proc. IEE-Control Theory Application, Vol. 145, No. 6, pp. 594-602, 1998.
DOI
ScienceOn
|
21 |
J. A. Ball, P. Kachroo, and A. J. Krener, " tracking control for a class of nonlinear systems," IEEE Trans. Automatic Control, Vol. 44, No. 6, pp. 1202-1206, Jun. 1999.
DOI
ScienceOn
|
22 |
F. F. M. El-Sousy, "Hybrid recurrent cerebellar model articulation controller-based supervisory motion control system for permanent-magnet synchronous motor servo drive," IET-Electric Power Application, Vol. 5, No. 7, pp. 563-579, Aug. 2011.
DOI
ScienceOn
|
23 |
F. F. M. El-Sousy, "Robust adaptive position control via a wavelet-neural-network for a DSP-based permanentmagnet synchronous motor servo drive system," IET-Electric Power Application, Vol. 4, No. 5, pp. 333-347, May 2010.
DOI
ScienceOn
|
24 |
F. F. M. El-Sousy, "Hybrid -based wavelet-neuralnetwork tracking control for permanent-magnet synchronous motor drives," IEEE Trans. Ind. Electron., Vol. 57, No. 9, pp. 3157-3166, Sep. 2010.
DOI
ScienceOn
|
25 |
F. F. M. El-Sousy, "Intelligent model-following position control for pmsm servo drives," in Proc. 6th WSEAS Int. Conf. Neural Netw., pp. 230-238, Jul. 2005.
|
26 |
F. F. M. El-Sousy, "An intelligent model-following sliding-mode position controller for pmsm servo drives," 4th IEEE International Conference on Mechatronics, May 2007.
|
27 |
W. Leonhard, Control of Electrical Drives, Springer-Verlag, Berlin, 1996.
|
28 |
R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control, Prentice-Hall, New Jersey, 2001.
|
29 |
F. F. M. El-Sousy, "Robust wavelet-neural-network sliding-mode control system for permanent-magnet synchronous motor drive," IET-Electric Power Application, Vol. 5, No. 1, pp. 113-132, Jan. 2011.
|
30 |
K. Jezernik and M. Rodic, "High precision motion control of servo drives," IEEE Trans. Ind. Electron., Vol. 56, No. 10, pp. 3810-3816, Oct. 2009.
DOI
ScienceOn
|
31 |
J. W. Finch and D. Giaouris, "Controlled AC Electrical Drives," IEEE Trans. Ind. Electron., Vol. 55, No. 2, pp. 481-491, 2008.
DOI
ScienceOn
|
32 |
X. Lin-Shi, F. Morel, A. M. Llor, B. Allard, J.-M. Retif, "Implementation of hybrid control for motor drives," IEEE Trans. Ind. Electron., Vol. 54, No. 4, pp. 1946-1952, Aug. 2007.
DOI
ScienceOn
|
33 |
M. Teshnehllab and K. Watanabe, "Self tuning of computed torque gains by using neural networks with flexible structures," Proc. Inst. Elect. Eng. Control Theory Appl., Vol. 141, No. 4, pp. 235-242, 1994.
DOI
ScienceOn
|
34 |
F. J. Lin, Y. S. Lin, and S. L. Chiu, "Slider-crank mechanism control using adaptive computed torque technique," Proc. Inst. Elect. Eng. Control Theory Appl., Vol. 145, No. 3, pp. 364-376, 1998.
DOI
ScienceOn
|
35 |
R. J. Wai, "Hybrid control for speed sensorless induction motor drive," IEEE Trans. Fuzzy Syst., Vol. 9, No. 1, pp. 116-138, Feb. 2001.
DOI
ScienceOn
|
36 |
F. F. M. El-Sousy, "Robust tracking control based on intelligent sliding-mode model-following position controller for pmsm servo drives," Journal of Power Electronics, Vol. 7, No. 2, pp. 159-173, Apr. 2007.
|
37 |
K. S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Trans. Neural Netw., Vol. 1, No. 1, pp. 4-27, 1990.
DOI
ScienceOn
|
38 |
F. F. M. El-Sousy, "Robust adaptive wavelet-neuralnetwork sliding-mode control for a dsp-based pmsm drive system," Journal of Power Electronics, Vol. 10, No. 5, pp. 518-527, Sep. 2010.
DOI
ScienceOn
|
39 |
F. F. M. El-Sousy, "A vector-controlled pmsm drive with a continually on-line learning hybrid neural-network model-following speed controller," Journal of Power Electronics, Vol. 5, No. 2, pp. 197-210, Apr. 2005.
|
40 |
K. T. Tanaka and H. O. Wang, Fuzzy Control Systems Design and Analysis, New York: Wiley, 2001.
|
41 |
Y. S. Lu and J. S. Chen, "A self-organizing fuzzy sliding-mode controller design for a class of nonlinear servo systems," IEEE Trans. Ind. Electron., Vol. 41, No. 5, pp. 492-502, Oct. 1994.
DOI
ScienceOn
|
42 |
F. J. Lin, W. J. Hwang, and R. J. Wai, "A supervisory fuzzy neural network control system for tracking periodic inputs," IEEE Trans. Fuzzy Syst., Vol. 7, No. 1, pp. 41-52, Feb. 1999.
DOI
ScienceOn
|
43 |
W. Y. Wang, Y. G. Leu, and C. C. Hsu, "Robust adaptive fuzzy-neural control of nonlinear dynamical systems using generalized projection update law and variable structure controller," IEEE Trans. Syst., Man, Cybern. B, Vol. 31, No. 1, pp. 140-147, Feb. 2001.
DOI
ScienceOn
|
44 |
R. J. Wai and F. J. Lin, "Fuzzy neural network sliding mode position controller for induction servo motor drive," Proc. Inst. Elect. Eng. Electr. Power Applicat., Vol. 146, No. 3, pp. 297-308, 1999.
DOI
ScienceOn
|
45 |
F. J. Lin and C. H. Lin, "Online gain-tuning IP controller using RFNN," IEEE Trans. Aerosp. Electron. Syst., Vol. 37, No. 2, pp. 655-670, Apr. 2001.
DOI
ScienceOn
|
46 |
C. H. Wang, H. L. Liu, and T. C. Lin, "Direct adaptive fuzzy-neural control with state observer and supervisory controller for unknown nonlinear dynamical systems," IEEE Trans. Fuzzy Syst., Vol. 10, No. 1, pp. 39-49, Feb. 2002.
DOI
ScienceOn
|
47 |
Y. G. Leu, W. Y. Wang, and T. T. Lee, "Robust adaptive fuzzy-neural controllers for uncertain nonlinear systems," IEEE Trans. Robot. Automat., Vol. 15, No. 5, pp. 805-817, Oct. 1999.
DOI
ScienceOn
|
48 |
J. Zhang and A. J. Morris, "Recurrent neuro-fuzzy networks for nonlinear process modeling," IEEE Trans. Neural Netw., Vol. 10, No. 2, pp. 313-326, Mar. 1999.
DOI
ScienceOn
|
49 |
C. H. Lee and C.C. Teng, "Identification and control of dynamic systems using recurrent-fuzzy-neural -network," IEEE Trans. Fuzzy Syst., Vol. 8, No. 4, pp. 349-366, Aug. 2000.
DOI
ScienceOn
|
50 |
F. J. Lin, P. K., Huang and W. D. Chou, "Recurrent-Fuzzy-Neural-Network-Controlled Linear Induction Motor Servo Drive Using Genetic Algorithms," IEEE Trans. Ind. Electron., Vol. 54, No. 3, pp. 1449-1461, Jun. 2007.
DOI
ScienceOn
|
51 |
C. F. Hsu and K. H. Cheng, "'Recurrent fuzzy-neural approach for nonlinear control using dynamic structure learning scheme," Neurocomputing, Vol. 71, No. 16-18, pp. 3447-3459, 2008.
DOI
ScienceOn
|
52 |
C. J Lin. and Y. C. Hsu, "Reinforcement hybrid evolutionary learning for recurrent wavelet-based neurofuzzy systems," IEEE Trans. Fuzzy Syst., Vol. 15, No. 4, pp. 729-745, Aug. 2007.
DOI
ScienceOn
|
53 |
L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning-I," Inf. Sci., Vol. 8, No. 3, pp. 199-249, 1975.
DOI
ScienceOn
|