Machine Learning Based Self-Balancing and Motion Control of the Underactuated Mobile Inverted Pendulum With Variable Load-Reference-Cited by-同舟云学术

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Machine Learning Based Self-Balancing and Motion Control of the Underactuated Mobile Inverted Pendulum With Variable Load

Published:2022 Issue: Volume:10 Page:104706-104718
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Unluturk Ali¹^ORCID,Aydogdu Omer²^ORCID

Affiliation:

1. Electrical and Electronic Engineering Department, Faculty of Engineering and Architecture, Erzurum Technical University, Erzurum, Turkey

2. Department of Electrical and Electronic Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09905575.pdf?arnumber=9905575

Reference42 articles.

1. An Elementary Introduction to Statistical Learning Theory

2. Adaptive control of two-wheeled mobile balance robot capable to adapt different surfaces using a novel artificial neural network–based real-time switching dynamic controller

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1. TRAJECTORY TRACKING CONTROL OF A TWO WHEELED SELF-BALANCING ROBOT BY USING SLIDING MODE CONTROL;Konya Journal of Engineering Sciences;2024-09-01

2. Intelligent computational techniques for physical object properties discovery, detection, and prediction: A comprehensive survey;Computer Science Review;2024-02

3. Optimal Control of Rotary Inverted Pendulum Using Continuous Linear Quadratic Gaussian (LQG) Controller;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. Model-Free Controller Design for Nonlinear Underactuated Systems With Uncertainties and Disturbances by Using Extended State Observer Based Chattering-Free Sliding Mode Control;IEEE Access;2023

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