A hybrid model formulation for a distillation column and the on-line optimisation study

Journal of Process Control

Volumn 9, Issue 2, 1999, Pages 125-134

  Safavi, A A ^a   Nooraii, A ^b   Romagnoli, J A ^c  

^a SHIRAZ UNIVERSITY   (Iran)

^b Kwinana Refinery ^*  (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Distillation column; Hybrid modelling; Neural networks; Optimisation; Wave nets

Indexed keywords

NEURAL NETWORKS; WAVELET ANALYSIS; APPROXIMATION THEORY; MATHEMATICAL MODELS; OPTIMIZATION; PROCESS CONTROL;

APPROXIMATION CAPABILITIES; HYBRID MODEL; HYBRID MODELLING; INTERNAL VARIABLES; MECHANISTIC MODELING; NET MODEL; OPTIMISATIONS; WAVELET-BASED NEURAL NETWORK;

DISTILLATION COLUMNS;

WAVENETS;

EID: 0033117270     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(98)00041-9     Document Type: Article

References (13)

1. L.A. Leonard, M.A. Kramer, Radial basis function networks for classifying process faults, IEEE Control Systems Mag. April, (1991) 31-38.
2. D.E. Rumelhart, G.E. Hinton, R.J. Williams, Learning internal representations by error propagation, in D. Rumelhart, J. McClelland (Eds.), Parallel Data Processing, Vol. 1, MIT Press, Cambridge, MA, 1986, pp. 318-362.
3. T. Poggio, F. Girosi, A theory of networks for approximation and learning, AI Lab Memo, no. 1140, MIT AI Lab, 1989.
4. C. Zhu, F.W. Paul, Self-tuning adaptive control using Fourier series neural networks, American Control Conference, San Francisco, CA, June 1993, pp. 2524-2528.
5. B.R. Bakshi, G. Stephanopoulos, Wave-net: a multiresolution, hierarchical neural network with localised learning, AIChE Journal 39 (1), (1993) 57-81.
6. A.A. Safavi, Wavelet neural networks and multiresolution analysis with applications to process systems engineering, PhD thesis, Department of Chemical Engineering, The University of Sydney, Australia, January 1996.
7. H.H. Szu, S. Kadambe, Neural network adaptive wavelets for signal representation and classification, Optical Engineering 31 (9), (1992) 1907-1915.
8. I. Daubechies, Ten Lectures on Wavelets, SIAM, Philadelphia, PA, 1992.
9. S.G. Mallat, A theory for multi-resolution signal decomposition: the wavelet representation, IEE Trans. Pattern Analysis Mach. Int. 11 (7), (1989) 674-693.
10. A. Nooraii, J.A. Romagnoli, Optimising control of a distillation column within a DCS environment, 4th IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns, and Batch Processes, 1995, p. 477.
11. A. Nooraii, J.A. Romagnoli, Implementation of advanced control and operational techniques for a pilot scale distillation column within a DCS environment, Computers and Chemical Engineering, submitted.
12. A.A. Safavi, J.A. Romagnoli, Application of wave-nets to modelling and optimisation of a multidimensional chemical process, IEEE Conference on Neural Networks, Perth, Australia, Vol. 4, November 1995, pp. 1724-1728.
13. A.A. Safavi, G.W. Barton, J.A. Romagnoli, On the choice of a wavelet in wave-nets for systems identification, Asian Control Conference, Tokyo, Japan, Vol. 1, June 1994, pp. 77-80.