Dual Control of the Extremal Multidimensional Regression Object
The statement of the problem of the dual control of the regression object with multidimensional-matrix input and output variables and dynamic programming functional equations for its solution are given. The problem of the dual control of the extremal regression object, i.e. object response function...
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| Format: | Article |
| Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2022-08-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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| Online Access: | https://doklady.bsuir.by/jour/article/view/3409 |
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| _version_ | 1849398413572964352 |
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| author | V. S. Mukha N. F. Kako |
| author_facet | V. S. Mukha N. F. Kako |
| author_sort | V. S. Mukha |
| collection | DOAJ |
| description | The statement of the problem of the dual control of the regression object with multidimensional-matrix input and output variables and dynamic programming functional equations for its solution are given. The problem of the dual control of the extremal regression object, i.e. object response function of which has an extremum, is considered. The purpose of control is reaching the extremum of the output variable by sequential control actions in production operation mode. In order to solve the problem, the regression function of the object is supposed to be quadratic in input variables, and the inner noise is supposed to be Gaussian. The sequential solution of the functional dynamic programming equations is performed. As a result, the optimal control action at the last control step is obtained. It is shoved also that the optimal control actions obtaining at the other control steps is connected with big difficulties and impossible both analytically and numerically. The control action obtained at the last control step is proposed to be used at the arbitrary control step. This control action is called the control action with passive information accumulation. The dual control algorithm with passive information accumulation was programmed for numerical calculations and tested for a number of objects. It showed acceptable results for the practice. |
| format | Article |
| id | doaj-art-9b9fa8d2a89349e5b0c2dbc7bb42cc97 |
| institution | Kabale University |
| issn | 1729-7648 |
| language | Russian |
| publishDate | 2022-08-01 |
| publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
| record_format | Article |
| series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| spelling | doaj-art-9b9fa8d2a89349e5b0c2dbc7bb42cc972025-08-20T03:38:38ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482022-08-01205213010.35596/1729-7648-2022-20-5-21-301821Dual Control of the Extremal Multidimensional Regression ObjectV. S. Mukha0N. F. Kako1Belarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsThe statement of the problem of the dual control of the regression object with multidimensional-matrix input and output variables and dynamic programming functional equations for its solution are given. The problem of the dual control of the extremal regression object, i.e. object response function of which has an extremum, is considered. The purpose of control is reaching the extremum of the output variable by sequential control actions in production operation mode. In order to solve the problem, the regression function of the object is supposed to be quadratic in input variables, and the inner noise is supposed to be Gaussian. The sequential solution of the functional dynamic programming equations is performed. As a result, the optimal control action at the last control step is obtained. It is shoved also that the optimal control actions obtaining at the other control steps is connected with big difficulties and impossible both analytically and numerically. The control action obtained at the last control step is proposed to be used at the arbitrary control step. This control action is called the control action with passive information accumulation. The dual control algorithm with passive information accumulation was programmed for numerical calculations and tested for a number of objects. It showed acceptable results for the practice.https://doklady.bsuir.by/jour/article/view/3409dual controlmultidimensional-matrix regression objectdynamic programmingpassive information accumulationextremal control systems |
| spellingShingle | V. S. Mukha N. F. Kako Dual Control of the Extremal Multidimensional Regression Object Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki dual control multidimensional-matrix regression object dynamic programming passive information accumulation extremal control systems |
| title | Dual Control of the Extremal Multidimensional Regression Object |
| title_full | Dual Control of the Extremal Multidimensional Regression Object |
| title_fullStr | Dual Control of the Extremal Multidimensional Regression Object |
| title_full_unstemmed | Dual Control of the Extremal Multidimensional Regression Object |
| title_short | Dual Control of the Extremal Multidimensional Regression Object |
| title_sort | dual control of the extremal multidimensional regression object |
| topic | dual control multidimensional-matrix regression object dynamic programming passive information accumulation extremal control systems |
| url | https://doklady.bsuir.by/jour/article/view/3409 |
| work_keys_str_mv | AT vsmukha dualcontroloftheextremalmultidimensionalregressionobject AT nfkako dualcontroloftheextremalmultidimensionalregressionobject |