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On the use of graph models in automation systems for complex non-stationary process objects
Dobrynin Aleksey Sergeevich

Senior Lecturer, Department of Automation and Information Systems, Siberian State Industrial University

654007, Russia, Kemerovskaya oblast', g. Novokuznetsk, ul. Kirova, 42

serpentfly@mail.ru

 

 
Kulakov Stanislav Matveevich

Doctor of Technical Science

Professor, Department of Automation and Information Systems, Siberian State Industrial University

654007, Russia, Kemerovskaya oblast', g. Novokuznetse, ul. Kirova, 42

kulakov-ais@mail.ru

 

 
Purgina Marina Vladimirovna

PhD in Technical Science

Associate Professor, Department of Information Security, Novosibirsk State University of Economics and Management

654041, Russia, Kemerovskaya oblast', g. Novokuznetsk, ul. Kirova, 42

pur-11@yandex.ru

 

 
Koynov Roman Sergeevich

Leading Specialist for Informatization, Siberian State Industrial University

654041, Russia, Kemerovskaya oblast', g. Novokuznetsk, ul. Kirova, 42

koynov_rs@mail.ru

 

 

Abstract.

Managing complex non-stationary systems is a non-trivial task. One of the conditions for effective control is the need to change and adjust the control algorithms under the changing operating conditions of automated systems. The article deals with the construction of control devices based on models of graph theory. As an object of research, approaches and methods of managing complex non-stationary systems are used. An approach based on the domain classification of the factors affecting the control object is considered. Management is considered with significant changes in environmental factors. As simulation methods, simulation and computer modeling were used, which allowed to evaluate the effectiveness of the proposed approaches and management methods. Also, methods of system analysis and modern algorithms on graphs were applied. The presented approach allows to take into account the changing behavior of the non-stationary control object when it is known that certain parameters and factors of the environment can influence this control. The mechanism of the finite state machine allows automatic switching of control algorithms depending on the situation. Studies have shown the expediency of using the proposed approach for the management of complex non-stationary automation systems.

Keywords: control system, theory of automatic control, finite automata, automation, non-stationary objects, model, graph, control object, control device, control algorithm

DOI:

10.25136/2306-4196.2018.3.26400

Article was received:

31-05-2018


Review date:

26-05-2018


Publish date:

22-06-2018


This article written in Russian. You can find full text of article in Russian here .

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