SYNTHESIS OF NEURAL NETWORK CONTROLLER WITH A REFERENCE MODEL
Keywords:
predictive control, non-linear object, reference modelAbstract
In the article there has been presented a structure of a control system with a neural network controller basing on a reference model. In the first part of the article there is a short overview of neural control models. In the following part, an identification of a non-linear object, which was a hydrostatic transmission, was conducted with the help of artificial neural networks; next, different identification structures of artificial neural networks were tested. The last stage covered a synthesis of a neural controller with a reference model and conducting simulation tests of the suggested structures in the system of the control with a non-linear object.Downloads
References
Douratsos I., Gomm J.B. 2007, Neural Network Based Model Reference Adaptive Control for process with time delay. International Journal of Information and Systems Sciences, vol. 3, No. 1, pp. 161-179.
Kumpati S. Narenda F. 1990, Identification and Control of Dynamical Systems Using Neural Networks. IEEE Transaction on Neural Network, vol. 1, No. 1.
Nawrocka A. 2006, Adaptacyjny regulator rozmyty dla przekładni hydrostatycznej. Rozprawa doktorska, Kraków.
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Osowski S. 2006, Sieci neuronowe do przetwarzania informacji. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa.
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