ANN-Based Control of a Wheeled Inverted Pendulum System Using an Extended DBD Learning Algorithm-Reference-Cited by-同舟云学术

ANN-Based Control of a Wheeled Inverted Pendulum System Using an Extended DBD Learning Algorithm

Published:2016-01-01 Issue:3 Volume:13 Page:99
ISSN:1729-8814
Container-title:International Journal of Advanced Robotic Systems
language:en
Short-container-title:International Journal of Advanced Robotic Systems

Author:

Cruz David¹,García Salatiel¹,Bandala Manuel¹

Affiliation:

1. Centro de Ingeniería y Desarrollo Industrial - CIDESI, Querétaro, Querétaro, Mexico

Abstract

This paper presents a dynamic model for a self-balancing vehicle using the Euler-Lagrange approach. The design and deployment of an artificial neuronal network (ANN) in a closed-loop control is described. The ANN is characterized by integration of the extended delta-bar-delta algorithm (DBD), which accelerates the adjustment of synaptic weights. The results of the control strategy in the dynamic model of the robot are also presented.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

Link

http://journals.sagepub.com/doi/pdf/10.5772/63485

Reference12 articles.

1. Design and Implementation of a Takagi–Sugeno-Type Fuzzy Logic Controller on a Two-Wheeled Mobile Robot

2. Neural-Adaptive Output Feedback Control of a Class of Transportation Vehicles Based on Wheeled Inverted Pendulum Models

3. Segway Inc. (2001). http://www.segway.com/about-segway/segway-milestones.phpWebpagelink. Segway Inc., New Hampshire. Accessed on 15 Jun 2013.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Neural Control for a Two Wheeled Inverted Pendulum System;2022 XXIV Robotics Mexican Congress (COMRob);2022-11-09

2. Research on configuration design and operation effect evaluation for ultra high voltage (UHV) vertical insulator cleaning robot;Industrial Robot: the international journal of robotics research and application;2019-10-12