Adaptive Neural Network Control for the Trajectory Tracking of the Furuta Pendulum.

J, Moreno-Valenzuela; C, Aguilar-Avelar; SA, Puga-Guzman; V, Santibanez

doi:10.1109/tcyb.2015.2509863

Public

Adaptive Neural Network Control for the Trajectory Tracking of the Furuta Pendulum.

Shared by NobleBlocks on Dec 1, 2016 • 12:00 AM UTC

Authors:

Moreno-Valenzuela J

Aguilar-Avelar C

Puga-Guzman SA

Abstract

The purpose of this paper is to introduce a novel adaptive neural network-based control scheme for the Furuta pendulum, which is a two degree-of-freedom underactuated system. Adaptation laws for the input and output weights are also provided. The proposed controller is able to guarantee tracking of ...

Discussions