By Topic

Direct Adaptive Decoupling Control of Nonlinear Systems Based on Neural Networks and Multiple Models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yue Fu ; Res. Center of Autom., Northeastern Univ., Shenyang ; Tianyou Chai

A direct adaptive decoupling controller is presented for a class of uncertain nonlinear multivariable discrete time dynamical systems. The direct adaptive decoupling controller is composed of a linear direct adaptive decoupling controller, a neural network nonlinear direct adaptive decoupling controller and a switching mechanism. The linear decoupling controller can provide boundedness of the input and output signals, and the nonlinear decoupling controller can improve performance of the system, while the switching mechanism is utilized to obtain the improved system performance and stability simultaneously. Theory analysis and simulation results are presented to show the effectiveness of the proposed method

Published in:

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on  (Volume:1 )

Date of Conference:

0-0 0