ISSN 1991-2927
 

ACP № 3 (65) 2021

Author: "Sergei Sergeevich Shumilov"

Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate studies at Bauman Moscow Technical School, doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, tutorial, articles in the field of the mathematical modeling of hierarchical real-time computer-aided control systems. e-mail: mars@mv.ruA.K. Ivanov,

Aleksandr Leonidovich Savkin, Candidate of Military Sciences, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications and the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, manuals, and articles in the field of the development and modeling of communication control systems, automated information systems. e-mail: mars@mv.ruA.L. Savkin,

Dmitrii Mikhailovich Iastrebov, graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; Deputy Director General and Head of Complex Research and Development Department of FRPC JSC ‘RPA ‘Mars’; research interests are in the field of computer-aided design systems and mathematical modeling. e-mail: mars@mv.ruD.M. Iastrebov,

Sergei Sergeevich Shumilov, graduated from the Radioengineering Faclty of Ulyanovsk State Technical University; Chief Designer of FRPC JSC ‘RPA ‘Mars’; research interests are in the field of computer-aided design systems and mathematical modeling. e-mail: mars@mv.ruS.S. Shumilov

Decision-making based on the receptor-ligand interaction methods65_1.pdf

The article deals with the mathematical models of decision-making in the management organization systems. The models are based on the receptor-ligand interaction methods studied in the biokinetics. The article describes an interaction between initial data coming to the organization system and knowledge database generated on the basis of operation experience. The combination of matching pairs creates decisions for resolving problems and achieving the goals. The interaction may take one or more stages. For one stage the models were developed in the form of differential equations when the starting amount of data is not equal to the one in knowledge database. When the amounts are equal, the model is represented as Riccati equation in a special form solving by an indefinite coefficient. The article considers cases when information recourses of initial data and the ones of knowledge database are not uniquely defined. The similar models are developed for two stages of interaction. The article gives the examples of calculation of information recourses amount for a decision in case of different ratios of initial data/ knowledge database.

Organization systems, decision-making, mathematical models, receptor-ligand interaction.

2021_ 3

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling.



Petr Ivanovich Sosnin, Ulyanovsk State Technical University, Doctor of Science in Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the Department of Computer Engineering at Ulyanovsk State Technical University; his scientific interests are in the field of applied intelligent systems. [e-mail: sosnin@ulstu.ru]P. Sosnin,

Sergei Sergeevich Shumilov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Chief Designer at FRPC JSC ‘RPA ‘Mars’; his scientific interests are in the field of computer-aided design systems. [e-mail: mars@mv.ru]S. Shumilov,

Aleksandr Evgenievich Ivasev, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies of UlSTU; Postgraduate Student at UlSTU; his scientific interests are in the field of computer-aided design systems. [e-mail: nevskei@yandex.ru]A. Ivasev

An Architectural Approach to the Precedent-oriented Problem Solving in the Designing of Automated Systems 55_6.pdf

The article presents an approach to architectural modeling focused on its use for the development of functional components of an automated system (AS), each of which is associated with the solution of a specific design task. To ensure the independence of the application of the approach from the domain of the AS, its implementation is associated with the creation of the subsystem TASK, which expands the potential of the instrumentally modeling environment OwnWIQA, which serves to solve design tasks in the workplace of a member of the design team. The specificity of the toolkit includes the formation for the solved task its reusable model (model of precedent), which is included in the Experience Base used in the design process of a certain AS or their family. The subsystem TASK was developed in the OwnWIQA as its application using the executable pseudo code language embedded into this toolkit. The constructed version of the subsystem TASK is interpreted by the authors as a prototype, the reprogramming of which will be conducted in C #.

Architectural modeling, precedent model, design task, prototype.

2019_ 1

Sections: Computer-aided engineering

Subjects: Computer-aided engineering.



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