Abstract
Modeling can be used for two main purposes — prediction or control. This must be kept in mind when methods for either, or both, of the purposes are chosen. In this paper the prediction of water quality in a river is investigated.
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References
Åström, K.J. and Wittenmark, B. (1974). On self-tuning regulators. Automatica, 9: 185–189.
Beck, M.B. (1977). The identification and adaptive prediction of urban sewer flows. International Journal of Control, 25: 425–440.
Beck,M.B. (1978). A Comparative Case Study of Dynamic Models for DO-BOD-Algae Interaction in a Freshwater River. RR-78–19. International Institute for Applied Systems Analysis, Laxenburg, Austria.
Box, G.E.P. and Jenkins, G.M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco, California.
Brown, R.G. (1963). Smoothing, Forecasting and Prediction. Prentice-Hall, Englewood Cliffs, New Jersey.
Coutie, G.A. (1964). Short Term Forecasting. ICI Monograph 2. Oliver and Boyd, Edinburgh.
Holst, J. (1977). Adaptive Prediction and Recursive Estimation. TFRT-1013, Department of Automatic Control, Lund Institute of Technology, Lund, Sweden.
Ikeda. S. and Itakura, H. (1983). Multidimensional scaling approach to clustering multivariate data for water-quality modeling. In M.B. Beck and G. van Straten (Editors), Uncertainty and Forecasting of Water Quality. This volume, pp. 205–223.
Kashyap, R.L. and Rao, A.R. (1973) Real time recursive prediction of river flows. Automatica, 9: 175–183.
Koivo, H.N. (1980). A multivariable self-tuning controller. Automatica, 16: 351–366.
Peterka, V. (1975). A square-root filter for real-time multivariable regression. Kybernetika, 11: 53–67.
Tamura, H. and Kondo, T. (1983). Nonlinear steady-state modeling of river quality by a revised group method of data handling for generating optimal intermediate polynomials. In M.B. Beck and G. van Straten (Editors), Uncertainty and Forecasting of Water Quality. This volume, pp. 225–241.
Tanttu, J.T. (1980). A self-tuning predictor for a class of multivariable stochastic processes. International Journal of Control, 32: 359–370.
Wittenmark, B. (1974). A self-tuning predictor. IEEE Transactions on Automatic Control, AC-19: 848–851.
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© 1983 International Institute for Applied Systems Analysis, Laxenburg/Austria
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Koivo, H.N., Tanttu, J.T. (1983). Adaptive Prediction of Water Quality in the River Cam. In: Beck, M.B., van Straten, G. (eds) Uncertainty and Forecasting of Water Quality. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82054-0_16
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DOI: https://doi.org/10.1007/978-3-642-82054-0_16
Publisher Name: Springer, Berlin, Heidelberg
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