Identification of nonlinear models with Feedforward Neural Network and Digital Recurrent Network

FME Transactions

Volumn 36, Issue 2, 2008, Pages 87-92

  Ranković, Vesna M ^a   Nikolić, Ilija Ž ^a  

^a UNIVERSITY OF KRAGUJEVAC   (Serbia)

Author keywords

Identification; Neural network; Nonlinear system

Indexed keywords

EID: 77954557942     PISSN: 14512092     EISSN: 2406128X     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Jagannathan, S. and Lewis, F.L.: Identification of nonlinear dynamical systems using multilayered neural networks, Automatica, Vol. 32, No. 12, pp. 1707-1712, 1996
2. Kenné, G., Ahmed-Ali, T., Lamnabhi-Lagarrigue, F. and Nkwawo, H.: Nonlinear systems parameters estimation using radial basis function network, Control Engineering Practice, Vol. 14, No. 7, pp. 819-832, 2006
3. Canelon, J.I., Shieh, L. and Karayiannis, N.B.: A new approach for neural control of nonlinear discrete dynamic systems, Information Sciences, Vol. 174, No. 3-4, pp. 177-196, 2005
4. Yu, W.: Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms, Information Sciences, Vol. 158, pp. 131-147, 2004
5. Oh, S.-K., Pedrycz, W. and Park, H.-S.: Hybrid identification in fuzzy-neural networks, Fuzzy Sets and Systems, Vol. 138, No. 2, pp. 399-426, 2003
6. Yazdizadeh, A. and Khorasani, K.: Adaptive time delay neural network structures for nonlinear system identification, Neurocomputing, Vol. 47, No. 1-4, pp. 207-240, 2002
7. Onder Efe, M. and Kaynak, O.: A comparative study of neural network structures in identification of nonlinear systems, Mechatronics, Vol. 9, No. 3, pp. 287-300, 1999
8. Van Gorp, J.,: Nonlinear Identification With Neural Networks and Fuzzy Logic, PhD thesis, Vrije Universiteit Brussel, Brussel, 2000
9. Rumelhart, D.E., Hinton, G.E. and Williams, R.J.: Learning representations by back-propagating errors, Nature, Vol. 323, No. 6088, pp. 533-536, 1986
10. Hagan, M.T., de Jesús, O. and Schultz, R.: Training Recurrent Neural Networks for Filtering and Control, in: Medsker, L.R. and Jain, L.C. (Eds.): Recurrent Neural Networks: Design and Applications, CRC Press, Boca Raton, pp. 325-354, 1999
11. Sastry, P.S., Santharam, G. and Unnikrishnan, K.P.: Memory neuron networks for identification and control of dynamical systems, IEEE Transactions on Neural Networks, Vol. 5, No. 2, pp. 306-319, 1994
12. Onder Efe, M. and Kaynak, O.: A comparative study of soft-computing methodologies in identification of robotic manipulators, Robotics and Autonomous Systems, Vol. 30, No. 3, pp. 221-230, 2000