Intelligent control system of autonomous objects

Engel, Ekaterina A.; Ковалев, И В; Engel, N E; Brezitskaya, V V; Prohorovich, G.A.

doi:10.1088/1757-899x/173/1/012024

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…In [1], Engel et al present an intelligent control system for an autonomous object with a two-layer structure-a reflective layer and a reactive layer. The applied multi-agent adaptive fuzzy neural network combines low-level response with high-level reasoning and intelligent control.…”

Section: State Of Knowledgementioning

confidence: 99%

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Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects

Lisowski

2024

Electronics

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The essence of this work, which is an extension of the author’s previous research, is an analysis of computational intelligence algorithms that the support safe control of an autonomous object moving in a large group of other autonomous objects. Linear and dynamic programming methods with neural constraints on the process state, as well as positional and matrix game methods, were used to synthesize computational algorithms for the safe trajectory of one’s own object. The aim of the comparative analysis of intelligent computational methods for the safe trajectory of an object was to show, through their use, the possibility of taking into account the risk of collision resulting from both the degree of cooperation of objects while observing traffic laws and the impact of the environment in the form of visibility and the complexity of the situation. Simulation tests of the algorithms were carried out on the example of a real navigation situation of several dozen objects passing each other at sea.

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Section: State Of Knowledgementioning

confidence: 99%

“…finds the optimal solution to ensure the minimum control quality index (1). In this way, the following OPT algorithm for the optimal control of object 0 in relation to a larger number of passing objects j is obtained, as in Figure 3, Algorithm 1.…”

Section: Algorithm Of Optimal Control Optmentioning

confidence: 99%

Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects

Lisowski

2024

Electronics

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Neural fuzzy adaptive control for mobile smart objects

Butakova

Чернов

Shevchuk

et al. 2018

2018 International Symposium on Consumer Technologies (ISCT)

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Адаптивное Матричное Представление Информации О Параметрах Для Взаимодействующих Автономных Интеллектуальных Систем

Попов,

Ковалев

2023

ИЭУ

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В статье рассматривается адаптивное матричное представление информации о параметрах для взаимодействующих автономных интеллектуальных систем. Известно, что проблема функционирования автономных интеллектуальных систем является одной из самых распространенных, возникающих при проектировании различных технических устройств и информационных систем. Исследование направлено на разработку представления информации о параметрах для автономных интеллектуальных систем, ориентированного на их взаимодействие. Представлен механизм заполнения матриц зависимости информацией, который осуществляется с учетом анализа изменения других параметров систем, что обеспечивает повышение эффективности функционирования автономных интеллектуальных систем и дальнейшую возможность расширения их области применения.

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Intelligent control system of autonomous objects

Cited by 4 publications

References 1 publication

Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects

Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects

Neural fuzzy adaptive control for mobile smart objects

Адаптивное Матричное Представление Информации О Параметрах Для Взаимодействующих Автономных Интеллектуальных Систем

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