By FuFang Li, Guowen Xie, DeYu Qi, Fei Luo, DongQing Xie (auth.), Wensong Hu (eds.)
This quantity contains prolonged and revised models of a collection of chosen papers from the foreign convention on electrical and Electronics (EEIC 2011) , hung on June 20-22 , 2011, that is together geared up via Nanchang college, Springer, and IEEE IAS Nanchang Chapter.
The aim of EEIC 2011 quantity 1 is to supply a huge interdisciplinary discussion board for the presentation of latest techniques from Electronics and sign Processing, to foster integration of the most recent advancements in medical learn. 133 comparable subject papers have been chosen into this quantity. all of the papers have been reviewed by way of 2 software committee contributors and chosen by way of the quantity editor Prof. Wensong Hu.
We wish each player could have a superb chance to interchange their study principles and effects and to debate the cutting-edge within the parts of the Electronics and sign Processing.
Read Online or Download Electronics and Signal Processing: Selected Papers from the 2011 International Conference on Electric and Electronics (EEIC 2011) in Nanchang, China on June 20–22, 2011, Volume 1 PDF
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Additional resources for Electronics and Signal Processing: Selected Papers from the 2011 International Conference on Electric and Electronics (EEIC 2011) in Nanchang, China on June 20–22, 2011, Volume 1
Adaptive NeuroFuzzy Inference System (ANFIS) which utilizes both advantages of FL and NN is compared with the well-known Hammerstein-Wiener models for identification of Brushless DC (BLDC) Motor. Numerous simulation studies carried out to provide a comprehensive comparison between two aforementioned techniques. Simple structure with high accuracy and fulfilling robustness is desired. Numerical simulations show that ANFIS outperforms Hammerstein-Wiener models. Keywords: BLDC motor drive; system identification; ANFIS; HammersteinWiener model.
In: Soft Computing in Intelligent Systems and Information Processing (1996) 6. : Neuro-Fuzzy Modeling and Control. Proceedings of the IEEE (March 1995) 7. : Design an Optimized PID Controller for Brushless DC Motor by Using PSO and Based on NARMAX Identified Model with ANFIS. In: IEEE 12th International Conference on System and Modeling, United Kingdom (May 2010) 8. : ANFIS Modeling of Nonlinear System Based on Vfold Technique. In: IEEE International Conference on Industrial Technology, ICIT (2006) 9.
Hammerstein-Wiener models with differences in WNN and linear block No. of the structure 17 18 19 20 21 22 23 24 25 26 27 No. of linear block zeros 2 2 3 3 3 4 4 4 5 5 5 No. of linear block poles 3 3 4 4 4 5 5 5 6 6 6 No. 92 Fig. 7. BLDC motor, ANFIS and Hammerstein-Wiener step response 36 A. Nemati and M. Faieghi 6 Conclusion In this paper, with reference to BLDC motor the performance of neuro-fuzzy and Hammerstein-Wiener models were compared. To find out that which models can have better performance of system modeling, three steps employed.
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