Please use this identifier to cite or link to this item: https://dspace.chmnu.edu.ua/jspui/handle/123456789/1082
Title: Swarm Optimization of Fuzzy Systems for Mobile Robots with Remote Control
Authors: Kozlov, O.
Kondratenko, Y.
Skakodub, O.
Gerasin, O.
Topalov, A.
Keywords: bioinspired swarm techniques
Fuzzy control systems
Internet of Things
mobile robots
optimization
remote control
Issue Date: 2023
Publisher: River Publishers
Abstract: This paper is dedicated to the development and research of the advanced approach for optimization of fuzzy control systems (FCS) for mobile robots (MR) with remote control based on bioinspired swarm techniques. The proposed approach makes it possible to create effective intelligent control systems for MRs based on the principles of hierarchical multi-level control, remote IoT-based control, fuzzy logic control, and intelligent optimization of fuzzy control devices. The applied hybrid particle swarm optimization (PSO) techniques with elite strategy allow effectively optimizing various parameters of FCSs, finding the optimal solution to the problem, and, at the same time, have a higher convergence rate compared with the basic PSO algorithms. To evaluate the effectiveness of the obtained advanced approach based on hybrid swarm techniques, the optimization process of the FCS for the speed control of the multi-purpose caterpillar MR, which can move on inclined and vertical ferromagnetic surfaces, is carried out. The presented research results fully confirm the high efficiency of the proposed approach, as well as the expediency of its application for the optimization of fuzzy control systems for various remotely controlled mobile robots.
Description: Kozlov, O., Kondratenko, Y., Skakodub, O., Gerasin, O., & Topalov, A. (2023). Swarm Optimization of Fuzzy Systems for Mobile Robots with Remote Control. Journal of Mobile Multimedia, 19(3), 839-876. doi:10.13052/jmm1550-4646.1939
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152790635&doi=10.13052%2fjmm1550-4646.1939&partnerID=40&md
https://dspace.chmnu.edu.ua/jspui/handle/123456789/1082
ISSN: 15504646
Appears in Collections:Публікації науково-педагогічних працівників ЧНУ імені Петра Могили у БД Scopus

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