DOI

In this paper, we analyze a neoclassical model of economic growth. Such models are widely used for the analysis of macroeconomic processes. One of the important elements of the growth model is a production function, which relates an output production to quantities of inputs (capital, labor, etc.). Considering the dynamic variant of the model, we use the nonlinear dynamized Cobb -- Douglas production function. The main economic objective of this work is to show how to effectively manage the consumption policy to maximize the final capital and the total consumption. We reduce this problem to a dynamic nonlinear problem of optimal control. Its solution is constructed by R. Gabasov's adaptive method. We construct the optimal control (consumption policy) in the class of piecewise-constant functions. Numerical experiments are carried out to prove the reliability and efficiency of the approach. A software package is developed in the MATLAB environment.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018
EditorsKlyuev Vitaly, Pyshkin Evgeny, Natalia Bogach
PublisherAssociation for Computing Machinery
Pages85-89
Number of pages5
ISBN (Electronic)978-1-4503-6516-1
DOIs
StatePublished - 1 Nov 2018
EventInternational Conference on Applications in Information Technology - University of Aizu, Аизу (Aizu), Japan
Duration: 1 Nov 20183 Nov 2018
Conference number: 3

Publication series

NameACM International Conference Proceeding Series

Conference

ConferenceInternational Conference on Applications in Information Technology
Abbreviated titleICAIT 2018
Country/TerritoryJapan
CityАизу (Aizu)
Period1/11/183/11/18

    Research areas

  • Economic growth model, Nonlinear systems, Optimal control, Production function

    Scopus subject areas

  • Control and Optimization
  • Applied Mathematics
  • Economics, Econometrics and Finance (miscellaneous)
  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

ID: 36314990