JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Online ISSN : 1881-1299
Print ISSN : 0021-9592
Process Systems Engineering and Safety
Nonlinear Systems Approximation Using a Piecewise Affine Model Based on a Radial Basis Functions Network
Masaru SakamotoDuo DongTakashi HamaguchiYutaka OtaToshiaki ItohYoshihiro Hashimoto
Author information
JOURNAL RESTRICTED ACCESS

2006 Volume 39 Issue 10 Pages 1078-1084

Details
Abstract

In this paper, a modeling method of high dimensional piecewise affine models is proposed. Because the model is expressed by radial basis function networks, whose RBFs are located at the grid points of the orthogonal coordinate in the input space, the shape of the piecewise affine model becomes easily understood. The more the number of RBFs is, the higher the approximation capability of the model is. The algorithm to increase the number of RBFs was developed in focusing on the distribution of estimation errors. By approximating nonlinear processes with piecewise affine models, control theories using mixed logical dynamical systems can be applied.

Content from these authors
© 2006 The Society of Chemical Engineers, Japan
Previous article Next article
feedback
Top