Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects

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 con...

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Main Author: Józef Lisowski
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/13/4/780
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author Józef Lisowski
author_facet Józef Lisowski
author_sort Józef Lisowski
collection DOAJ
description 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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spelling doaj.art-9f7df8c475ca4a3aa71b14176055c6d62024-02-23T15:14:54ZengMDPI AGElectronics2079-92922024-02-0113478010.3390/electronics13040780Computational Intelligence Supporting the Safe Control of Autonomous Multi-ObjectsJózef Lisowski0Faculty of Electrical Engineering, Gdynia Maritime University, 81-225 Gdynia, PolandThe 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.https://www.mdpi.com/2079-9292/13/4/780computational intelligencemulti-object controloptimizationneural networkgame theory
spellingShingle Józef Lisowski
Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects
Electronics
computational intelligence
multi-object control
optimization
neural network
game theory
title Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects
title_full Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects
title_fullStr Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects
title_full_unstemmed Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects
title_short Computational Intelligence Supporting the Safe Control of Autonomous Multi-Objects
title_sort computational intelligence supporting the safe control of autonomous multi objects
topic computational intelligence
multi-object control
optimization
neural network
game theory
url https://www.mdpi.com/2079-9292/13/4/780
work_keys_str_mv AT jozeflisowski computationalintelligencesupportingthesafecontrolofautonomousmultiobjects