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

Author

Zhang, Qiang ; Yue, Weiqiang ; Feng, Shuxing

Author_Institution

Inst. of Mil. Transp., Tianjin, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

delays; identification; neurocontrollers; nonlinear systems; temperature control; DFOPDT model; MATLAB neural network toolbox; first-order plus dead-time mode; model identification; nonlinear temperature system; step response; time-delay; Atmospheric modeling; Convergence; Iterative algorithms; Iterative methods; MATLAB; Mathematical model; Neural networks; Predictive models; Temperature; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5366862

Filename

5366862