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Надежность функционирования искусственного интеллекта в роевых структурах малоразмерных БПЛА
Электросвязь. 2024. № 4. С. 14–24.
The paper shows that ensuring the artificial intelligence dependability and stability is one of the relevant tasks of ensuring the swarm structures dependability of small-size unmanned aerial vehicles (UAVs). Swarm structures of small-size UAVs have been analyzed. It is established that the existing models and methods for assessing the UAV swarms’ dependability are not effective enough due to the fact that all components of the information multilevel system are not taken into account, which leads to the impossibility of reliable prediction of UAV swarm dependability measures. To solve the above problem, a refined generalized model and method for assessing the UAV information multilevel system dependability, including both hardware, software and network components, are proposed. It is substantiated that this approach will allow to automate and improve the processes of forming requirements for the UAVs design and production and thus increase the dependability of their swarm structures.
Language:
Russian
Keywords: искусственный интеллектнадежностьинтеллектуальная системаarchitecture of hardware and software systemsаппаратно-программный комплексDependabilityintelligent system artificial intelligenceswarm structures of UAVsbee algorithmestimated mathematical modelроевые структуры БПЛАпчелиный алгоритмрасчетные математические модели
Publication based on the results of:
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Mazur D., Petr E. Brandyshev, Doronin S. et al., Electrochimica Acta 2026 Vol. 577 Article 149729
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