Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications

Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications

This paper presents a novel approach to robotic control by integrating nonlinear dynamics with machine learning (ML) in an Internet of Things (IoT) framework. This study addresses the increasing need for adaptable, real-time control systems capable of handling complex, nonlinear dynamic environments...

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Bibliographic Details
Main Authors: Vesna Antoska Knights, Olivera Petrovska, Jasenka Gajdoš Kljusurić
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Future Internet
Subjects:
nonlinear dynamics
machine learning
robotic control
Online Access:https://www.mdpi.com/1999-5903/16/12/435
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