500 rub
Journal Electromagnetic Waves and Electronic Systems №4 for 2026 г.
Article in number:
Theoretical foundations of building computer-aided design systems for software-hardware, multisensory, and cyber-physical systems using neural networks and radio channels (analytical review)
Type of article: overview article
DOI: https://doi.org/10.18127/j15604128-202604-09
UDC: 681.586 33(075.8)
Authors:

O.B. Spiridonov1, L.P. Mileshko2

1,2 Scientific Design Bureau of Modeling and Control Systems of the SFU (Rostov-on-Don, Russia)

1 oleg.spiridonov@mail.ru, 2 mileshko.leon@yandex.ru

Abstract:

Currently, there is an urgent need for rapid import substitution of hardware and software components for all domestic computer-aided design (CAD) systems for a wide variety of purposes. To this end, the information necessary for the development of import-substituting CAD systems for next-generation cyber-physical systems (CPS) and their variants – hardware-software complexes (HSCs) and multisensory systems (MS) – has been systematized and summarized. It is noteworthy that the number of publications devoted to CAD systems for many purposes is relatively small compared to the significant number of articles on CAD in general. This is likely due to the extreme complexity and labor-intensive nature of designing specific systems and devices. Therefore, it is advisable to conduct future research to fill this gap in innovative developments in CAD systems for FSCs, HACs, and MSs, which confirms the relevance of the study. This paper attempts to determine the level and development paths of methods for constructing CAD systems for FSCs (HACs, MSs) for remote environmental monitoring and space monitoring. The main design principles used in constructing CAD systems for FSCs are established: it is proposed to use a radio channel to enable operational remote (space) monitoring of ecological systems in the biosphere; graph methods are used; the use of neural networks is planned to improve the accuracy, reliability, and validity of measurement results; the problem of developing a universal method for selecting a genetic algorithm for training neural networks using bioinspired algorithms adopted from nature, which improve the efficiency of FSCs, HACs, and MSs, is addressed. It is revealed that CAD systems are widely used for a large number of purposes, including, recently, the following: design of control systems for robotic systems; design of integrated circuits based on reconfigurable systems-on-a-chip (SoCs); creation of cyber-physical systems; microelectronics design, and many other areas. Methodological approaches for constructing a CFS CAD system for remote environmental (space) monitoring, including a radio channel and neural networks, are described.

Pages: 104-112
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Date of receipt: 30.09.2025
Approved after review: 18.10.2025
Accepted for publication: 30.06.2026