Learning control of an inverted pendulum using a neural network

9 December 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 1401-1404 vol.2
https://doi.org/10.1109/iecon.1991.239063

Abstract

The authors interpret the teaching signal in the backpropagation algorithm proposed for a system controller. They stabilized an actual inverted pendulum using a neural network with a backpropagation algorithm. The problems in using a neural network as a system controller are discussed.<>

Keywords

NEURAL NETWORKS
CONTROL SYSTEMS
SIGNAL GENERATORS
CONVERGENCE
NATIONAL ELECTRIC CODE
ALGORITHM DESIGN AND ANALYSIS
RAILS
SHAPE
ERROR CORRECTION
SAMPLING METHODS

This publication has 1 reference indexed in Scilit:

A new supervised learning method of neural networks and its application to the land cover classification
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003