Evolutionary Machine Learning for Optimal Polar-Space Fuzzy Control of Cyber-Physical Mecanum Vehicles

Evolutionary Machine Learning for Optimal Polar-Space Fuzzy Control of Cyber-Physical Mecanum Vehicles

This paper contributes to the development of evolutionary machine learning (EML) for optimal polar-space fuzzy control of cyber-physical Mecanum vehicles using the flower pollination algorithm (FPA). The metaheuristic FPA is utilized to design optimal fuzzy systems, called FPA-fuzzy. In this hybrid...

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Bibliographic Details
Main Authors: Hsu-Chih Huang, Jing-Jun Xu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Electronics
Subjects:
evolutionary
machine learning
cyber-physical system
fuzzy control
Mecanum vehicles
flower pollination algorithm
Online Access:https://www.mdpi.com/2079-9292/9/11/1945

Internet

https://www.mdpi.com/2079-9292/9/11/1945

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