By Topic

Artificial neural networks-based predictive control

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

3 Author(s)
Li, Junyi ; Dept. of Autom. Control, Shanghai Jiao Tong Univ., China ; Xu, X. ; Yugeng Xi

A predictive control algorithm, artificial neural-network-based predictive control (ANNPC), is proposed. This algorithm adopts both the neural net (NN) information processing mode and a predictive control mechanism. It shows great promise for conventional predictive control and NN optimal control, and can deal with complicated nonlinear systems. Simulation comparisons between the ANNPC algorithm and a conventional algorithm are given

Published in:

Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on

Date of Conference:

28 Oct-1 Nov 1991