PROGRAM SYSTEMS: THEORY AND APPLICATIONS

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Online Scientific Journal published by the Ailamazyan Program Systems Institute of the Russian Academy of Sciences

Artificial Intelligence, Intelligence Systems, Neural Networks
Methods for Optimal Control and Control Theory
Supercomputing Software and Hardware

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• Содержание выпуска •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Methods for Optimal Control and Control Theory •
• Supercomputing Software and Hardware •

Methods for Optimal Control and Control Theory

Responsible for the Section: doctor of physico-mathematical Sciences Yury Sachkov.

On the left: assigned number of the paper, submission date, the number of A5 pages contained in the paper, and the reference to the full-text PDF .

 

Article # 7_2020

20 p.

PDF

submitted on 30th Oct 2019 displayed on website on 27th Apr 2020

Kamil B. Mansimov, Rashad O. Mastaliev
Necessary conditions for quasi-singular controls in the stochastic optimal control problem with delayed argument

The optimal control problem is considered, the mathematical models of which are defined by non-linear stochastic Ito differential equations with a delay argument and diffuse components that allow one to take into account random disturbances of a continuous nature acting on the system.
A linearized necessary optimality condition is obtained under the assumption that the domain admissible control is convex. The quasi-singular case is investigated. The general necessary optimality conditions for quasi-singular controls are described. Partial cases are considered. (in Russian).


Key words: stochastic control theory, Ito equations, singular controls.

article citation

http://psta.psiras.ru/read/psta2020_2_3-22.pdf

DOI

https://doi.org/10.25209/2079-3316-2020-11-2-3-22

Article # 8_2020

13 p.

PDF

submitted on 15th Apr 2020 displayed on website on 10th May 2020

Irina V. Rasina, Oles V. Fesko
Sufficient relative minimum conditions for discrete-continuous control systems (in Russian)

In this paper, we derive sufficient relative minimum conditions for discrete-continuous control systems on the base of Krotov’s sufficient optimality conditions counterpart. These conditions can be used as verification conditions for suggested control mode and enable one to construct new numerical methods.


Key words:
heterogeneous systems, optimal control problem, local extremum.

article citation

http://psta.psiras.ru/read/psta2020_2_47-59.pdf

 DOI

https://doi.org/10.25209/2079-3316-2020-11-2-47-59

Article # 9_2020

13 p.

PDF

submitted on 15th Apr 2020 displayed on website on 10th May 2020

Irina V. Rasina, Oles V. Fesko
Sufficient relative minimum conditions for discrete-continuous control systems

In this paper, we derive sufficient relative minimum conditions for discrete-continuous control systems on the base of Krotov’s sufficient optimality conditions counterpart. These conditions can be used as verification conditions for suggested control mode and enable one to construct new numerical methods.


Key words:
heterogeneous systems, optimal control problem, local extremum.

article citation

http://psta.psiras.ru/read/psta2020_2_61-73.pdf

 DOI

https://doi.org/10.25209/2079-3316-2020-11-2-61-73

• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Methods for Optimal Control and Control Theory •
• Supercomputing Software and Hardware •

 

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