Identification of Chaotic Systems by Neural Networks

被引：0
|
作者：
Cannas, B. [1 ]
Montisci, A. [1 ]
Pisano, F. [1 ]
机构：
[1] Univ Cagliari, Dept Elect & Elect Engn, Cagliari, Italy
来源：
CHAOS AND COMPLEX SYSTEMS | 2013年
关键词：
PARAMETER-IDENTIFICATION; SYNCHRONIZATION;
D O I：
10.1007/978-3-642-33914-1_61
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper a traditional Multi Layer Perceptron with a tapped delay line as input is trained to identify the parameters of the Chua's circuit when fed with a sequence of values of a scalar state variable. The analysis of the a priori identifiability of the system, performed resorting to differential algebra, allows one to choose a suitable observable and the minimum number of taps. The results confirm the appropriateness of the proposed approach.
引用
收藏
页码：431 / 438
页数：8
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