Abstract : This paper considers the optimal control of two small stochastic models of the Slovenian economy applying the OPTCON algorithm. OPTCON determines approximate numerical solutions to optimum control problems for nonlinear stochastic systems and is particularly applicable to econometric models. We compare the results of applying the OPTCON2 version of the algorithm to the nonlinear model SLOVNL and the linear model SLOVL. The results for both models are similar, with open-loop feedback controls giving better results on average but with more ‘outliers’ than open-loop controls.
Christian Pötzsche; Clemens Heuberger; Barbara Kaltenbacher; Franz Rendl. 26th Conference on System Modeling and Optimization (CSMO), Sep 2013, Klagenfurt, Austria. Springer Berlin Heidelberg, IFIP Advances in Information and Communication Technology, AICT-443, pp.21-30, 2014, System Modeling and Optimization. 〈10.1007/978-3-662-45504-3_3〉
https://hal.inria.fr/hal-01286449
Contributeur : Hal Ifip
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Soumis le : jeudi 10 mars 2016 - 17:43:49
Dernière modification le : vendredi 1 décembre 2017 - 01:12:49
Document(s) archivé(s) le : dimanche 13 novembre 2016 - 15:15:01
Dimitri Blueschke, Viktoria Blueschke-Nikolaeva, Reinhard Neck. Stochastic Control of Econometric Models for Slovenia. Christian Pötzsche; Clemens Heuberger; Barbara Kaltenbacher; Franz Rendl. 26th Conference on System Modeling and Optimization (CSMO), Sep 2013, Klagenfurt, Austria. Springer Berlin Heidelberg, IFIP Advances in Information and Communication Technology, AICT-443, pp.21-30, 2014, System Modeling and Optimization. 〈10.1007/978-3-662-45504-3_3〉. 〈hal-01286449〉
