Artificial neural networks in process estimation and control. (English) Zbl 0775.93096
References:
| [1] | Bhat, N.; Minderman, P.; McAvoy, T. J., Use of neural nets for modelling of chemical process systems, (Preprints IFAC Symp. Dycord + 89. Preprints IFAC Symp. Dycord + 89, Maastricht, The Netherlands, 21-23 August (1989)), 147-153 |
| [2] | Bremmermann, H. J.; Anderson, R. W., An alternative to back-propagation: a simple rule for synaptic modification for neural net training and memory, (Internal report (1989), Department of Mathematics, University of California: Department of Mathematics, University of California Berkeley) |
| [3] | Clarke, D. W.; Mohtadi, C.; Tuffs, P. S., Generalised control: Part I: the basic algorithm, Automatica, 23, 137-148 (1987) · Zbl 0621.93032 |
| [4] | Cybenko, G., Approximations by superpositions of a sigmoidal function, Math. Cont. Signal & Systems, 2, 303-314 (1989) · Zbl 0679.94019 |
| [5] | Di Massimo, C.; Montague, G. A.; Willis, M. J.; Tham, M. T.; Morris, A. J., Towards improved penicillin fermentation via artificial neural network, Comput. Chem. Eng. (1991), Accepted for publication in |
| [6] | Eaton, J. W.; Rawlings, J. B., Feedback control of chemical processes using on-line optimisation techniques, Comput. Chem. Eng., 14, 469-479 (1990) |
| [7] | Economou, C. G.; Morari, M., Internal model control 5: Extension to nonlinear systems, Ind. Eng. Chem. Process Des. Dev., 25, 403-411 (1986) |
| [8] | Edgar, T. F.; Himmelblau, D. M., (Optimization of Chemical Processes (1989), McGraw-Hill: McGraw-Hill New York) |
| [9] | Fletcher, R., (Practical Methods of Optimization, Volume 1 (1980), John Wiley: John Wiley New York) · Zbl 0439.93001 |
| [10] | Guilandoust, M. T.; Morris, A. J.; Tham, M. T., Adaptive inferential control, (Proc. IEE, 134 (1987)), 171-179, Pt.D · Zbl 0608.93065 |
| [11] | Holden, A. V., (Models of the Stochastic Activity of Neurones (1976), Springer Verlag: Springer Verlag Berlin) · Zbl 0353.92001 |
| [12] | Lee, P. L.; Sullivan, G. R., Generic model control, Comput. Chem. Eng., 12, 573-580 (1988) |
| [13] | Lippmann, R. P., An introduction to computing with neural nets, IEEE ASSP Magazine, 4-22 (1987), April |
| [14] | Luenberger, D. G., (Linear and Nonlinear Programming (1973), Addison-Wesley: Addison-Wesley Reading, MA) · Zbl 0241.90052 |
| [15] | Montague, G. A., (Ph.D. thesis. Ph.D. thesis, Inferential Self-tuning Control of the Fed-batch Penicillin Fermentation (1987), University of Newcastle: University of Newcastle U.K) |
| [16] | Peterka, V., Predictor based self-tuning control, Automatica, 20, 39-50 (1984) · Zbl 0539.93054 |
| [17] | Pirt, S. J.; Righelato, R. C., Effect of growth rate on the synthesis of penicillin by Penicillium chrysogenum in batch and chemostat cultures, App. Microbiol., 1284-1290 (1967), November |
| [18] | Powell, M. J.D., An efficient method for finding the minimum of a function of several variables without calculating the derivatives, Comput. J., 7, 155-162 (1964) · Zbl 0132.11702 |
| [19] | Rumelhart, D. E.; McClelland, J. L., (Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol. 1: Foundations (1986), MIT Press: MIT Press Cambridge, MA) |
| [20] | Terzuolo, C. A.; McKeen, T. A.; Poppele, R. E.; Rosenthal, N. P., Impulse trains, coding and decoding, (Terzuolo, A., Systems Analysis to Neurophysiological Problems (1969), University of Minnesota: University of Minnesota Minneapolis), 86-91 |
| [21] | Tham, M. T.; Morris, A. J.; Montague, G. A., Soft sensing: A solution to the problem of measurement delays, Chem. Eng. Res. and Des., 67, 547-554 (1989) |
| [22] | Willis, M. J.; Di Massimo, C.; Montague, G. A.; Tham, M. T.; Morris, A. J., On neural networks in chemical process control, (Proc. IEE, 138 (1991)), 256-266, Pt. D |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
