1 |
K. J. Astrom and T. Hagglund, PID Controller: Theory, Design, and Tuning, Instrument Society of America, Research Triangle Park, North Carolina, USA, 1995.
|
2 |
T. Hagglund and K. J. Astrom, “Revisiting the Ziegler-Nichols tuning rules for PI control,” Asian J. Contr., Vol. 4, No. 4, pp. 364-380, 2002.
|
3 |
T. Hagglund and K. J. Astrom, “Revisiting the Ziegler-Nichols tuning rules for PI control-part II: the frequency response method,” Asian J. Contr., Vol. 6, No. 4, pp. 469-482, 2004.
|
4 |
L. Ma and K. Khorasani, “Constructive feedforward neural networks using Hermite polynomial activation functions,” IEEE Trans. Neural Netw., Vol. 16, No. 4, pp. 821-833, Jul. 2005.
DOI
|
5 |
L. Ma and K. Khorasani, "Adaptive constructive neural networks using Hermite polynomials for image compression," 2nd International Symposium on Neural Networks, pp. 713-722, 2005.
|
6 |
G. G. Rigatos and S. G. Tzafestas, "Feed-forward neural networks using Hermite polynomial activation functions," 4th Helenic Conference on Advances in Artificial Intelligence, SETN 2006, pp. 323-333, 2006.
|
7 |
S. M. Siniscalchi, J. Li, and C. H. Lee, “Hermitian polynomial for speaker adaptation of connectionist speech recognition systems,” IEEE Trans. Audio, Speech, Language Process., Vol. 21, No. 10, pp. 2152-2161, Oct. 2013.
DOI
|
8 |
J. J. E. Slotine and W. Li, Applied Nonlinear Control, Englewood Cliffs, Prentice-Hall, New Jersay, 1991.
|
9 |
K. J. Astrom and B. Wittenmark, Adaptive Control, Addison-Wesley, New York, 1995.
|
10 |
F. L. Lewis, J. Campos, and R. Selmic, Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities. SIAM Frontiers in Applied Mathematics, 2002.
|
11 |
C. Y. Tseng, Y. F. Lue, Y. T. Lin, J. C. Siao, C.H. Tsai, and L. M. Fu, "Dynamic simulation model for hybrid electric scooters," IEEE Int. Symp. Industrial Electronics, pp. 1464-1469, 2009.
|
12 |
L. Guzzella and A. M. Schmid, “Feedback linearization of spark-ignitionengines with continuously variable transmissions,” IEEE Trans. Contr. Syst. Technol., Vol. 3, No. 1, pp. 54-58, Feb. 1995.
DOI
|
13 |
W. Kim and G. Vachtsevanos, "Fuzzy logic ratio control for a CVThydraulic module," Proc. of the IEEE Symp. Intelligent Control, pp. 151-156, 2000.
|
14 |
G. Carbone, L. Mangialardi, B. Bonsen, C. Tursi, and P. A. Veenhuizen, “CVT dynamics: Theory and experiments,” Mechanism and Machine Theory, Vol. 42, No. 4, pp. 409-428, Apr. 2007.
DOI
|
15 |
M. N. Eskander, "Minimization of losses in permanent magnet synchronous motors using neural network," J. Power Electron., Vol. 2, No. 3, pp 220-229, Jul. 2002.
|
16 |
A. F. Payam, M. N. Hashemnia and J. Faiz, “Robust DTC control of doubly-fed induction machines based on input-output feedback linearization using recurrent neural networks,” J. Power Electron., Vol. 11, No. 5, pp. 719-725, Sep. 2011.
DOI
|
17 |
C. H. Lin, "A PMSM driven electric scooter system with V-belt continuously variable transmission using novel hybrid modified recurrent Legendre neural network control," J. Power Electron., Vol. 15, No. 1, pp 220-229, Jan. 2015.
|
18 |
C. H. Lin, “A backstepping control of LSM drive systems using adaptive modified recurrent Laguerre OPNNUO,” J. Power Electron., Vol. 16, No. 2, pp. 598-609, Mar. 2016.
DOI
|
19 |
C. H. Lin, “Dynamic control of V-belt continuously variable transmission-driven electric scooter using hybrid modified recurrent Legendre neural network control system,” Nonlinear Dynamics, Vol. 79, No. 2, pp. 787-808, Jan. 2015.
DOI
|
20 |
C. H. Lin, “Comparative dynamic control for continuously variable transmission with nonlinear uncertainty using blend amend recurrent Gegenbauer-functional-expansions neural network,” Nonlinear Dynamics, Vol. 87, No. 3, pp. 1467-1493, Feb. 2017.
DOI
|
21 |
M. Dorigo, V. Maniezzo, and A. Colorni, "The ant system: optimization by a colony of cooperating agents," IEEE Trans. Syst., Man, and Cybernetics-Part B, Vol. 26, No.1, pp. 29-41, Feb.1996.
DOI
|
22 |
M. Dorigo and L. Gambardella, “Ant colony system: A cooperative learning approach to the traveling salesman problem,” IEEE Trans. Evol. Comput., Vol. 1, No. 1, pp. 53-66, Apr. 1997.
DOI
|
23 |
M. Dorigo and C. Blum, “Ant colony optimization theory: A survey,” Theoretical Comput. Sci., Vol. 344, No. 2-3, pp. 243-278, Nov. 2005.
DOI
|
24 |
G. D. Caro and M. Dorigo, "AntNet: A mobile agents approach to adaptive routing," Technical Report, IRIDIA-Free Brussels University, Belgium, 1997.
|
25 |
W. J. Gutjahr. "A graph-based ant system and its convergence," Future Gener. Comput. Syst., Vol. 16, No. 8, pp.873-888, Jun. 2000.
DOI
|
26 |
M. Dorigo and T. Stutzle. Ant Colony Optimization, MIT Press, Cambridge, Massachusetts, 2004.
|
27 |
R. Gan, Q. Guo, H. Chang, and Y. Yi, “Improved ant colony optimization algorithm for the traveling salesman problems,” J. Syst. Eng. Electron., Vol. 21, No. 2, pp. 329-333, April 2010.
DOI
|
28 |
J. Yang and Y. Zhuang, “An improved ant colony optimization algorithm for solving a complex combinatorial optimization problem,” Applied Soft Comput., Vol. 10, No. 2, pp. 653-660, Mar. 2010.
DOI
|
29 |
H. Idris, A. E. Ezugwu, S. B. Junaidu, and A. O. Adewumi, "An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems," Plos One, Vol. 12, No. 5, e0177567, 2017.
DOI
|
30 |
Y. H. Kim and J. H. Lee, "Optimum design criteria of an ALA-SynRM for the maximum torque density and power factor improvement," Int. J. Applied Electromagn. Mech., Vol. 53, No. S2, pp. S279-S288, 2017.
DOI
|
31 |
W. Chai, W. Zhao, and B. Kwon, "Optimal design of wound field synchronous reluctance machines to improve torque by increasing the saliency ratio," IEEE Trans. Magn., Vol. 53, No. 11, Nov. 2017.
|
32 |
R. E. Betz, R. Lagerquist, M. Jovanovic, T. J. E. Miller, and R. H. Middleton, “Control of synchronous reluctance machines,” IEEE Trans. Ind. Appl., Vol. 29, No. 6, pp. 1110-1122, Nov./Dec. 1993.
DOI
|
33 |
K. Uezato, T. Senjyu, and Y. Tomori, “Modeling and vector control of synchronous reluctance motors including Stator Iron Loss,” IEEE Trans. Ind. Appl., Vol. 30, No. 4, pp. 971-976, July/Aug. 1994.
DOI
|
34 |
T. Matsuo, A. E. Antably, and T. A. Lipo, “A new control strategy for optimum-efficiency operation of a synchronous reluctance Motor,” IEEE Trans. Ind. Appl., Vol. 33, No. 5, pp. 1146-1153, Sep./Oct. 1997.
DOI
|
35 |
E. M. Rashad, T. S. Radwan, and M. A. Rahman, "A maximum torque per ampere vector control strategy for synchronous reluctance motors considering saturation and iron losses," IEEE Industry Applications Conference, pp. 2411-2417, 2004.
|