Page 588 - Mathematical Techniques of Fractional Order Systems

558 Mathematical Techniques of Fractional Order Systems

Rezaee Jordehi, A., 2015. Chaotic bat swarm optimisation (CBSO). Appl. Soft Comput. J. 26,
523 530.
Saremi, S., Mirjalili, S., Lewis, A., 2014. Biogeography-based optimisation with chaos. Neural
Comput. Appl. 25 (5), 1077 1097. Available from: https://doi.org/10.1007%2Fs00521-014-
1597-x.
Saremi, S., Mirjalili, S., Lewis, A., 2017. Grasshopper optimisation algorithm: Theory and appli-
cation. Adv. Eng. Softw. 105, 30 47. Available from: https://doi.org/10.1016%2Fj.
advengsoft.2017.01.004.
Sun, Y., Wu, X., Bai, L., Wei, Z., Sun, G., 2016. Finite-time synchronization control and param-
eter identification of uncertain permanent magnet synchronous motor. Neurocomputing 207,
511 518. Available from: https://doi.org/10.1016%2Fj.neucom.2016.05.036.
Tofighi, E.M., Mahdizadeh, A., Feyzi, M.R., 2013. Real-time estimation and tracking of para-
meters in permanent magnet synchronous motor using a modified two-stage particle swarm
optimization algorithm. 2013 IEEE International Symposium on Sensorless Control for
Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/
PRECEDE) (October), 1 7. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?
arnumber 5 6684496.
Xu, Y., Zhou, J., Xue, X., Fu, W., Zhu, W., Li, C., 2016. An adaptively fast fuzzy fractional
order PID control for pumped storage hydro unit using improved gravitational search algo-
rithm. Energy Convers. Manage. 111, 67 78. Available from: https://doi.org/10.1016/j.
enconman.2015.12.049.
Xue, W., Li, Y., Cang, S., Jia, H., Wang, Z., Xue, W., et al., 2015. Chaotic behavior and circuit
implementation of a fractional-order permanent magnet synchronous motor model. J.
Franklin Inst. Available from: https://doi.org/10.1016/j.jfranklin.2015.05.025.
Yousri, D., AbdelAty, A.M., Said, L.A., AboBakr, A., Radwan, A.G., 2017. Biological inspired
optimization algorithms for cole-impedance parameters identification. {AEU} Int. J.
Electr. Commun. 78, 79 89. Available from: http://www.sciencedirect.com/science/article/
pii/S143484111730376X.
Yu, J., Chen, B., Yu, H., Gao, J., 2011. Nonlinear Analysis : Real World Applications Adaptive
fuzzy tracking control for the chaotic permanent magnet synchronous motor drive system
via backstepping. Nonlinear Anal. Real World Appl. 12 (1), 671 681. Available from:
https://doi.org/10.1016/j.nonrwa.2010.07.009.
Zamani, A., Barakati, S.M., Youso, S., 2016. Design of a fractional order PID controller using
GBMO algorithm for load frequency control with governor saturation consideration.
Zhou, P., Bai, R.-J., Zheng, J.-M., 2015. Stabilization of a fractional-order chaotic brushless DC
motor via a single input. Nonlinear Dyn. 82 (1 2), 519 525. Available from: http://link.
springer.com/10.1007/s11071-015-2172-4.
Zhu, Q., Azar, A.T. (Eds.), 2015. Complex System Modelling and Control Through Intelligent
Soft Computations. Springer International Publishing. Available from: https://doi.org/
10.1007%2F978-3-319-12883-2.
Zribi, M., Oteafy, A., Smaoui, N., 2009. Chaos, Solitons and Fractals Controlling chaos in the
permanent magnet synchronous motor 41, 1266 1276.