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
Mathematical Modelling
Methods for Optimal Control and Control Theory

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• Содержание выпуска •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Mathematical Modelling •
• Methods for Optimal Control and Control Theory •

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 # 10_2018

19 p.

PDF

submitted on 23th Jule 2018 displayed on website on 17th Aug 2018

Vasiliy Kuzmin
Optimal heating: maintaining a non-equilibrium temperature field in a multi-chamber system with minimum energy consumption

The heating system is considered as a multi-flow heat exchange system. It is shown that the criterion of its thermodynamic perfection can be minimally attainable irreversibility (dissipation). General conditions of minimal dissipation of heat exchange systems are used to obtain recommendations for the design of heating systems. The distributions of the total heat transfer coefficient and the coolant temperature in contact with the air in the heated rooms are obtained. (In Russian).


Key words:  thermodynamics, optimization, heating system design, optimization of heating systems, energy saving, heat engineering, heat exchange irreversibility, contact surface distribution, maintaining the temperature field with minimum energy costs.

article citation

http://psta.psiras.ru/read/psta2018_3_29-47.pdf

 DOI

https://doi.org/10.25209/2079-3316-2018-9-3-29-47

Article # 12_2018

12 p.

PDF

submitted on 27th Jule 2018 displayed on website on 24th Sept 2018

Irina Rasina, Oles Fesko
First order control improvement method for discrete continuous systems

An improvement method for discrete continuous systems as a modification of the second order method is considered. The proposed method gives the solution in the form of approximate linear synthesis of optimal control. An example is given to illustrate the comparison with the gradient method. (In Russian).


Key words: 
discrete continuous systems, sufficient optimality conditions, control improvement.

article citation

http://psta.psiras.ru/read/psta2018_3_65-76.pdf

 DOI

https://doi.org/10.25209/2079-3316-2018-9-3-65-76

• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Mathematical Modelling •
• Methods for Optimal Control and Control Theory •

 

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© Ailamazyan Program System Institute of RAS 2010-2018