Neural networks and fuzzy inference systems are becoming wellrecognized tools of designing an identifier / controller capable of perceiving the operating environment and human operator with high performance. The purpose of this paper is to identify different models for a DC-servo system using the previous identification methods and linear identification methods as ARX, ARMAX and state space models. The paper compares between these methods and presents the practical results for the application these methods.
M. Hassan, M., A. Aly, A., & F. Rashwan, A. (2007). DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR. JES. Journal of Engineering Sciences, 35(No 6), 1481-1493. doi: 10.21608/jesaun.2007.114591
MLA
Mohamed M. Hassan; Amer A. Aly; Asmaa F. Rashwan. "DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR", JES. Journal of Engineering Sciences, 35, No 6, 2007, 1481-1493. doi: 10.21608/jesaun.2007.114591
HARVARD
M. Hassan, M., A. Aly, A., F. Rashwan, A. (2007). 'DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR', JES. Journal of Engineering Sciences, 35(No 6), pp. 1481-1493. doi: 10.21608/jesaun.2007.114591
VANCOUVER
M. Hassan, M., A. Aly, A., F. Rashwan, A. DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR. JES. Journal of Engineering Sciences, 2007; 35(No 6): 1481-1493. doi: 10.21608/jesaun.2007.114591
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