Title :
A subspace/KL based modelling method for nonlinear distribution parameters systems
Author :
Lu, Xin-Jiang ; Li, Han-Xiong ; Qi, Chen-Kun
Author_Institution :
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong
Abstract :
In this paper, a hybrid of the subspace method and the Karhunen-Loeve (KL) expansion method is developed to model the distribution parameters systems (DPS). This method is a pure data driving method which does not require any prior knowledge of the governing equations. The accuracies and efficiencies of the modeling methodology are verified by simulation.
Keywords :
Karhunen-Loeve transforms; distributed parameter systems; nonlinear control systems; Karhunen-Loeve expansion method; nonlinear distribution parameters systems; subspace-KL based modelling method; Distributed parameter systems; Eigenvalues and eigenfunctions; Equations; Intelligent control; Manufacturing automation; Moment methods; Pulp manufacturing; Research and development management; Robustness; Virtual manufacturing; Distributed Parameter Systems; KL expansion method; Subspace method; data driven;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593151
