Adaptive neural network control of mechatronics objects

• Autorzy: Nemtsev E. , Zukov Y.
• Języki publikacji: EN

Abstrakty

EN

This paper presents an adaptive neural network approach to control of mechatronics objects. This approach is applied in adaptive control of DC motor in SISO-system and 3-DOF robot arm actuators in MIMO system. Results of computer simulation and comparison with other control techniques are introduced.

Słowa kluczowe

EN

neural network; computer simulation; mechatronics objects

PL

sieci neuronowe; symulacja komputerowa; obiekt mechatroniczny

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2008
• Tom: Vol. 2, no. 4
• Strony: 81--85
• Opis fizyczny: Bibliogr. 7 poz., rys., wykr.

Twórcy

autor

Nemtsev E.

autor

Zukov Y.

• Baltic State Technical University “Voenmeh”, 198005, St. Petersburg, 1 Krasnoarmeyskaya 1, Russia,

Bibliografia

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• 4. Murray R., Neumerkel D., Sbarbaro D. (1992), Neural Networks for Modeling and Control of a Non-linear Dynamic System, Proceedings of the 1992 IEEE International Symposium on Intelligent Control, 404-409.
• 5. Narendra K. S., Mukhopadhyay S. (1997), Adaptive Control Using Neural Networks and Approximate Models, IEEE Transactions on Neural Networks Vol. 8, 475-485.
• 6. Omidvar O. M., Elliott D. L., editors (1997), Neural Systems for Control, Academic Press, New York, 157-203.
• 7. Soloway D., Haley P. J. (1996), Neural Generalized Predictive Control, Proceedings of the 1996 IEEE International Symposium on Intelligent Control, 277-281.