By Topic

Model Identification of Nonlinear Temperature System with Time-Delay Based on Neural Network

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
$33 $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)
Qiang Zhang ; Inst. of Mil. Transp., Tianjin, China ; Weiqiang Yue ; Shuxing Feng

A DFOPDT model of nonlinear temperature system with time-delay is established. An algorithm is presented, which is an effective way to solve unknown parameters of the model by neural network. In the method, the network can soon converge through the iterative calculation in which the value of unknown parameters is predicted continuously. Meanwhile, it also solves to train a network with unknown output by the function "train" in MATLAB neural network toolbox. The DFOPDT model of the system is identified by the method through step response. It is proved that the method has a good convergence, concise algorithm and high accuracy.

Published in:

2009 International Conference on Information Engineering and Computer Science

Date of Conference:

19-20 Dec. 2009