Identification of coupled map lattice models for spatio-temporal patterns using wavelets

被引：14

作者：

Billings, S. A. ^{[1
]}

Guo, L. Z. ^{[1
]}

Wei, H. L. ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2006年 / 37卷 / 14期

基金：

英国工程与自然科学研究理事会;

关键词：

spatio-temporal patterns; CML identification; wavelets;

D O I：

10.1080/00207720600963015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces a new approach for the identification of coupled map lattice models of complex spatio-temporal patterns from measured data. The nonlinear functionals describing the evolution of the spatio-temporal patterns are constructed using B-spline wavelet and scaling functions. This provides a multiresolution approximation for the underlying spatio-temporal dynamics. An orthogonal least squares algorithm is used to determine the suitable terms from wavelet functions to form an accurate representation of the nonlinear spatio-temporal dynamics. Three examples are used to demonstrate the application of the proposed new approach.

引用

页码：1021 / 1038

页数：18

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