Constrained Optimal Control Under Limited Knowledge
AbstractThis paper examines the issue of the generation of optimal control policies where there are explicit constraints upon the control values and there is limited knowledge of the complex economic system. The paper develops a methodology where the constrained optimal control is based upon a learning model that predicts the policy targets for the economic system. A subset of the control policy is applied to the economic system and from the response of the system a new predictive model and resultant optimal controls are generated. The methodology is then repeated. Numeric examples of the methodology as applied to a macroeconomic model are presented in the paper.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 14.
Date of creation: 01 Apr 2001
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Constrained Optimal Control; Monetary Policy;
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
This paper has been announced in the following NEP Reports:
- NEP-ALL-2001-05-02 (All new papers)
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