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

2015 Issue 1
2015 Issue 2
2015 Issue 3
2015 Issue 4

Papers are accepted in the form of a PDF file

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• Содержание выпуска •
• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Software and Hardware for Distributed Systems and Supercomputers •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Supercomputing Software and Hardware •

Methods for Optimal Control and Control Theory

Responsible for the Section: doctor of technical Sciences Vladimir Gurman, 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 # 2_2015

9 p.

PDF

submitted on 26th Dec 2014 displayed on website on 03th Feb 2015

Egereva I.
Methodological support of optimal control of fuzzy multistage processes

The paper defines a problem of abstract, indistinct sequential process optimal control synthesis. The obtained functional equation makes it possible to find out the maximum implementation of the defined indistinct goal objective provided that evolution of process is characterized by fuzzy relations. The functional equation solution gives at each stage feedback control law at this point. (In Russian).
Key words: fuzzy multistage processes, fuzzy goal and fuzzy relations, maximum degree of implementation of fuzzy goal, the functional Bellman equation, design of optimal control, feedback control law.

article citation

http://psta.psiras.ru/read/psta2015_1_11-19.pdf

DOI

https://doi.org/10.25209/2079-3316-2015-6-1-11-19

Article # 3_2015

17 p.

PDF

submitted on 26th Dec 2014 displayed on website on 05th Feb 2015

Rasina I., Baturina O.
Linear quadratic discrete-continuous systems with controllable coefficients

It is considered a special case of discrete-continuous systems (DCS): linear-quadratic DCS w.r.t. state variables with controllable coefficients. For this class of systems a prototype of Krotov iterative global improvement method is constructed. Its last iteration gives a solution in the form of approximate optimal control synthesis. The obtained result can be treated as development of optimal analytical controllers design theory with application to DCS. A visual example is considered. (In Russian).
Key words:
discrete-continuous system, global improvement method, optimal control synthesis, turnpike solutions.

article citation

http://psta.psiras.ru/read/psta2015_1_21-37.pdf

DOI

https://doi.org/10.25209/2079-3316-2015-6-1-21-37

• Mathematical Foundations of Programming •
• Methods for Optimal Control and Control Theory •
• Software and Hardware for Distributed Systems and Supercomputers •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Supercomputing Software and Hardware •

 

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