[1] Salahat, M., Barbarawe, O., Abu Zalata, M. and Asad, S. (2011) Modular Approach for Investigation of the Dynamic Behavior of Three-Phase Induction Machine at Load Variation. Engineering, 3, 525-531.
http://dx.doi.org/10.4236/eng.2011.35061
[2] Vodovozov, V., Gevorkov, L. and Raud, Z. (2014) Modeling and Analysis of Pumping Motor Drives in Hardware-in-the-Loop Environment. Journal of Power and Energy Engineering, 2, 19-27.
http://dx.doi.org/10.4236/jpee.2014.210003
[3] Men, Z.X., Yee, E., Lien, F.-S., Ji, H. and Liu, Y.Q. (2014) Bootstrapped Multi-Model Neural-Network Super-Ensembles for Wind Speed and Power Forecasting. Energy and Power Engineering, 6, 340-348.
http://dx.doi.org/10.4236/epe.2014.611029
[4] Shankar, H., Raju P.L.N. and Rao, K.R.M. (2012) Multi Model Criteria for the Estimation of Road Traffic Congestion from Traffic Flow Information Based on Fuzzy Logic. Journal of Transportation Technologies, 2, 50-62.
http://dx.doi.org/10.4236/jtts.2012.21006
[5] Abid, A., Ben Hamed, M. and Sbita, L. (2011) Induction Motor Real Time Application of Multimodel Modeling Approach. International Review of Electrical Engineering (IREE), 6, 655-660.
[6] Abid, A., Adouni, A., Ben Hamed, M. and Sbita, L. (2012) A New PV Cell Model Based On Multi Model Approach. The 4th International Renewable Energy Congress, Sousse, 20-22 December 2012, 1447-1452.
[7] Abid A., Ben Mabrouk Z., Ben Hamed M., Sbita L., (2013) Multiple Lunberger Observer for an Induction Motor Represented by Decoupled Multiple Model. 10th International Multi-Conference on Systems, Signals & Devices (SSD) Hammamet, March 18-21 2013, 1-6.
http://dx.doi.org/10.1109/ssd.2013.6564050
[8] Elfelly, N., Dieulot, J.-Y., Benrejeb, M. and Borne, P. (2012) A Multimodel Approach for Complex Systems Modeling Based on Classification Algorithms. International Journal of Computers Communications Control, 7, 644-659.
[9] Orjuela, R., Marx, B., Ragot, J. and Maquin, D. (2013) Nonlinear System Identification Using Heterogeneous Multiple Models. International Journal of Applied Mathematics and Computer Science, 23, 103-115.
http://dx.doi.org/10.2478/amcs-2013-0009
[10] Hamdi, H., Rodrigues, M., Mechmeche, C., Theilliol, D. and BenHadj Braiek, N., (2012) Fault Detection and Isolation in Linear Parameter-Varying Descriptor Systems via Proportional Integral Observer. International Journal of Adaptive Control and Signal Processing, 26, 224-240.
http://dx.doi.org/10.1002/acs.1260
[11] Guldemir, H. and Sengur, A. (2006) Comparison of Clustering Algorithms for Analog Modulation Classification. Expert Systems with Applications, 30, 642-649.
http://dx.doi.org/10.1016/j.eswa.2005.07.014
[12] Velmurugan, T. (2014) Performance Based Analysis between K-Means and Fuzzy C-Means Clustering Algorithms for Connection Oriented Telecommunication Data. Applied Soft Computing, 19, 134-146.
http://dx.doi.org/10.1016/j.asoc.2014.02.011
[13] Chiu, S.L. (1994) Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent and Fuzzy Systems, 2, 267-278.
[14] Fan, J.L. and Li, J. (2014) A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C-Means Clustering Algorithm. Applied Mathematics, 5, 1275-1283.
http://dx.doi.org/10.4236/am.2014.58119