Analysis and Simulation of Electrical and Computer Systems by Leslaw Golębiowski, Damian Mazur

By Leslaw Golębiowski, Damian Mazur

This e-book provides the chosen result of the XI clinical convention chosen problems with electric Engineering and Electronics (WZEE) which was once held in Rzeszów and Czarna, Poland on September 27-30, 2013. the most goal of the convention used to be to supply academia and to debate and current the most recent technological benefits and study effects and to combine the recent interdisciplinary medical circle within the box of electric engineering, electronics and mechatronics. The convention was once geared up by way of the Rzeszów department of Polish organization of Theoretical and utilized electric Engineering (PTETiS) in cooperation with Rzeszów collage of expertise, the school of electric and laptop Engineering and Rzeszów college, the college of arithmetic and average Sciences.

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Model of Hybrid Active Power Filter in the Frequency Domain 25 (a) (b) Fig. 9 Frequency responses of the analyzed hybrid filter for different cut-off frequency of signal filters (K = 20) Hybrid active power filter in configuration with single tuned passive harmonic filter has been used as an example. Based on the derived model, it was possible to obtain a harmonic filtration characteristics of the analyzed hybrid filter, separately for positive and negative components. This allows for assessment of the system parameters impact on properties of the analyzed filter.

Multilayer neural network as a global model are used. The global model with regard to local model should take into account quality local models. So, adequate complex neural model should be built. The complex neural model is non-typical multilayer feedforward neural networks. In the global neural model can be indicated parts of the model which are adequate to the simple plants in the complex system. Also local models should be built. The global neural model with regard to local models integrates two approaches to the modeling of complex systems.

Learning algorithms allow us to obtain the desired parameters of the complex neural model. The criterion Qs contains weighting factors a, which determine the influence of local models quality and the global model quality on the final quality of the model. Now the question is, how to properly select the weighting factors a. In case when complex system consists of two simple objects the synthetic criterion contains three elements, as follow:  2  2 ð2Þ ð2Þ ð1Þ ð1Þ Qs ðWÞ ¼ a0 ^yj ðk þ 2Þ À yj ðk þ 2Þ þ a1 yj ðk þ 1Þ À yj ðk þ 1Þ  2 ð2Þ ð2Þ þ a2 yj ðk þ 2Þ À yj ðk þ 2Þ ð4Þ The formula (4) contains two factors a1 and a2 for local models and one factor a0 for the global model.

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