Identification of distributed parameter systems: A neural net based approach

Computers and Chemical Engineering

Volumn 22, Issue SUPPL.1, 1998, Pages

  Gonzalez Garcia R ^a   Rico Martinez R ^a,c   Kevrekidis, I G ^b  

^a DEPARTAMENTO DE INGENIERÍA QUÍMICA   (Mexico)

^b Princeton University   (United States)

^c FRITZ HABER INSTITUT DER MAX PLANCK GESELLSCHAFT   (Germany)

Author keywords

Neural Networks; Partial Differential Equations; System Identification

Indexed keywords

EID: 4243403498     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0098-1354(98)00191-4     Document Type: Article

References (8)

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2. Cross, M. C., and Hohenberg, P. C., 1993, Pattern formation outside of equilibrium, Rev. Mod. Phys., 65, 851.
3. Fullana J., Le Gal, P., Rossi, M., Zaleski, S., 1997, Identification of parameters in amplitude equations describing coupled wakes, Physica D, 102, 37-56.
4. Lagaris, I. E., Likas, A. and Fotiadis, D. I., 1997, Artificial neural networks for solving ordinary and partial differential equations, Preprint, Dept. of Computer Science, University of Ioannina, Greece.
5. Rico-Martínez, R., Anderson, J. S., and Kevrekidis, I. G., 1994, Continuous-time nonlinear signal processing: A neural network based approach for gray box identification, Proc. 1994 IEEE Workshop on Neural Networks for Signal Processing, 596-605.
6. Rico-Martinez, R., Kevrekidis, I. G. and Krischer, K., 1995, Nonlinear system identification using neural networks: Dynamics and instabilities, Chapter 16 in Neural Networks for Chemical Engineers, A. Bulsari (ed.), Eisevier Science B. V., 409-442.
7. Rotermund, H. H., Krischer K., and Pettinger, B., 1997, Imaging of reaction fronts at surfaces. In: Frontiers of Electrochemistry. Vol. IV: Imaging of Surfaces and Interfaces, Lipkowski, J., and Ross, P.N. (eds), VCH Publishers.
8. Weigend, A. S. and Gershenfeld, N. A., 1993, Time Series Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley.