P. C. PATIC1, R. M. ZEMOURI R.2, L. DUŢĂ1
1 Valahia University of Târgovişte,
18-24, Unirii Ave., Târgovişte, Romania
2Laboratoire d’Automatique du CNAM,
21, Rue Pinel, 75013 Paris, France
Abstract: This paper presents an application of an ANN (Artificial Neural Network) of a RNRF type (Recurrent Network with Radial basis Function) in controlling a linear system. The performance of ANN-based control solution is compared with a classic controller and the results show that ANN behaves better than the classic controller. MATLAB simulation performed show that the coupling between the ANN and a proportional controller gives the best performance.
Keywords: Human-machine interface, usability criteria, end-user development, risks.
CITE THIS PAPER AS:
P. C. PATIC, R. M. ZEMOURI R., L. DUŢĂ, Recurrent Neural Networks in Linear Systems Controlling, Studies in Informatics and Control, ISSN 1220-1766, vol. 19 (2), pp. 153-158, 2010.