A priori nonlinear model structure selection for system identification

被引：9
|
作者：
Petrick, MH [1 ]
Wigdorowitz, B [1 ]
机构：
[1] UNIV WITWATERSRAND,DEPT ELECT ENGN,ZA-2050 WITWATERSRAND,SOUTH AFRICA
来源：
CONTROL ENGINEERING PRACTICE | 1997年 / 5卷 / 08期
关键词：
nonlinear systems; modelling; control system analysis; identification;
D O I：
10.1016/S0967-0661(97)00096-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
When performing nonlinear system identification few tools exist for the a priori nonlinear model structure selection of the nonlinear system. This paper presents a possible approach as a first step towards selecting a nonlinear system model structure, based on using the results of Lyapunov exponents, Poincare maps and dimension techniques. The approach is illustrated by applying it to the Chua circuit, a nonlinear dynamic system exhibiting chaotic dynamic behaviour. Copyright (C) 1997 Elsevier Science Ltd.
引用
收藏
页码：1053 / 1062
页数：10
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