Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/103171
Title: Intelligent software system for optimizing adaptive control of investment projecting processes
Authors: Shorikov, A. F.
Butsenko, E. V.
Tyulyukin, V. A.
Issue Date: 2020
Publisher: American Institute of Physics Inc.
Citation: Shorikov A. F. Intelligent software system for optimizing adaptive control of investment projecting processes / A. F. Shorikov, E. V. Butsenko, V. A. Tyulyukin. — DOI 10.1063/5.0033499 // AIP Conference Proceedings. — 2020. — Vol. 2302. — 060014.
Abstract: The article describes the functionality developed by the authors of an intelligent computer software system for optimizing adaptive control of investment projecting processes in the face of uncertainty. The results of the work are based on a new method of network formalization and optimization of adaptive project control using network economic and mathematical modeling and principles of adaptive control. The developed intelligent computer program system is projecting to automate the modeling of investment projecting processes and optimize adaptive decision-making control during their implementation on the basis of network economic and mathematical modeling, as well as methods andtools for developing intelligent software systems. This system takes into account the existing specific technical and economic conditions and information support. The basis of the developed intelligent computer software system is the use of a new method of network formalization and of adaptive project control optimization, modernized to solve the problems of investment projecting. The results obtained in this work can serve as the basis for creating intelligent instrumental systems for supporting managerial decision-making in the implementation of investment projecting processes in the context of information uncertainty and risks. © 2020 Author(s).
URI: http://hdl.handle.net/10995/103171
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85097806426
PURE ID: 20415449
ca0d86ab-7d2f-40ab-b9c7-d7f08b6b18ba
ISSN: 0094243X
ISBN: 9780735440364
DOI: 10.1063/5.0033499
metadata.dc.description.sponsorship: This work was supported by the Russian Basic Research Foundation, project no. 18-01-00544 “Problems attainability, control, estimation in dynamical systems with impulse control and uncertainty.”
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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