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A Fine-Tuning Scheme for Economic Decision Rules

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Econometric Decision Models

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 208))

Abstract

In economic decision making the common approach to obtain adaptive regulators is to combine Bellman’s principle of optimality with an originally only technically motivated perturbation analysis [1]; [4]. In order to operate from the end of the planning horizon backward the main difficulty in practical applications of this methodology is caused by the lack of information. This paper presents a somewhat other approach. A two-stage-combination of a nominal feedback control with a feedforward perturbation control is proposed.

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References

  1. BAR-SHALOM, Y. and E.TSE Caution, Probing, and the Value of Information in the Control of Uncertain Systems. Annals of Economic and Social Measurement, Vol. 5 (1976), pp. 323–337.

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  2. CHOW, G.C. Analysis and Control of Dynamic Economic Systems ( Wiley Series in Probability and Mathematical Statistics ). New York-London 1975.

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  3. LARSON, R.E. State Increment Dynamic Programming (Mo- dern Analytic and Computational Methods in Science and Mathematics No.12). New York 1968.

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  4. NORMAN, A.L. First Order Dual Control. Annals of Economic and Social Measurement, Vol. 5 (1976), pp. 311–321.

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© 1983 Springer-Verlag Berlin Heidelberg

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Leserer, M. (1983). A Fine-Tuning Scheme for Economic Decision Rules. In: Gruber, J. (eds) Econometric Decision Models. Lecture Notes in Economics and Mathematical Systems, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46464-5_8

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  • DOI: https://doi.org/10.1007/978-3-642-46464-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11554-0

  • Online ISBN: 978-3-642-46464-5

  • eBook Packages: Springer Book Archive

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