SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM
. Background. The paper considers the problem of managing an economic system represented by a nonlinear model under conditions of uncertainty. Materials and methods. The economic system is described by a nonlinear model that includes a random factor and a controlling influence from the state. Within...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penza State University Publishing House
2025-05-01
|
| Series: | Модели, системы, сети в экономике, технике, природе и обществе |
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849737001805283328 |
|---|---|
| author | I.V. Trundaev |
| author_facet | I.V. Trundaev |
| author_sort | I.V. Trundaev |
| collection | DOAJ |
| description | . Background. The paper considers the problem of managing an economic system represented by a nonlinear model under conditions of uncertainty. Materials and methods. The economic system is described by a nonlinear model that includes a random factor and a controlling influence from the state. Within the framework of this model, expert knowledge-based management algorithms are built to ensure balanced and sustainable development. Results. A study of the proposed dynamic model describing cycles in the economy and a comparative analysis of the control algorithm using precise and fuzzy control algorithms are carried out. Conclusions. Certain advantages of the proposed fuzzy control algorithm for a nonlinear model based on expert knowledge are highlighted, which can be useful in developing control systems of higher dimension, where the use of classical methods may not be sufficiently justified or appropriate. |
| format | Article |
| id | doaj-art-00e62b2527a34cb98c0652dcc652764b |
| institution | DOAJ |
| issn | 2227-8486 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Penza State University Publishing House |
| record_format | Article |
| series | Модели, системы, сети в экономике, технике, природе и обществе |
| spelling | doaj-art-00e62b2527a34cb98c0652dcc652764b2025-08-20T03:07:05ZengPenza State University Publishing HouseМодели, системы, сети в экономике, технике, природе и обществе2227-84862025-05-01110.21685/2227-8486-2025-1-7SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM I.V. Trundaev 0Financial University under the Government of the Russian Federation, Moscow. Background. The paper considers the problem of managing an economic system represented by a nonlinear model under conditions of uncertainty. Materials and methods. The economic system is described by a nonlinear model that includes a random factor and a controlling influence from the state. Within the framework of this model, expert knowledge-based management algorithms are built to ensure balanced and sustainable development. Results. A study of the proposed dynamic model describing cycles in the economy and a comparative analysis of the control algorithm using precise and fuzzy control algorithms are carried out. Conclusions. Certain advantages of the proposed fuzzy control algorithm for a nonlinear model based on expert knowledge are highlighted, which can be useful in developing control systems of higher dimension, where the use of classical methods may not be sufficiently justified or appropriate. nonlinear modelsoft controlfuzzy logicfuzzy setsregulation in economicsexpert systems |
| spellingShingle | I.V. Trundaev SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM Модели, системы, сети в экономике, технике, природе и обществе nonlinear model soft control fuzzy logic fuzzy sets regulation in economics expert systems |
| title | SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM |
| title_full | SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM |
| title_fullStr | SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM |
| title_full_unstemmed | SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM |
| title_short | SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM |
| title_sort | soft control of a non linear economic system |
| topic | nonlinear model soft control fuzzy logic fuzzy sets regulation in economics expert systems |
| work_keys_str_mv | AT ivtrundaev softcontrolofanonlineareconomicsystem |