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Neural network approach to signal modelling in power systems

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3 Author(s)
K. L. Ting ; Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia ; C. S. Berger ; M. F. Conlon

A neural network approach to a system identification problem is presented. Traditional system identification techniques require knowledge of the model structure before parameter estimation methods can be applied. This approach requires less a priori information and the knowledge of model structure is not essential. A simulation study on a power system has demonstrated the application of this technique

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IEE Proceedings - Control Theory and Applications  (Volume:142 ,  Issue: 4 )