A Method of Dynamic System Identification based on Memory RBF Network

被引：0
|
作者：
Lv, Qiang [1 ]
Zhang, Yang [1 ]
Lin, Huican [1 ]
机构：
[1] Acad Armored Force Engn, Beijing 100072, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
RBF Network; System Identification; Recursive Network; Gradient Descent Algorithm; NEURAL-NETWORKS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A recursive network is proposed by introducing memory neurons based on the RBF network. Due to the current output value of the network is related to the past input value in the network, the network will be able to identify the dynamics of the system without the need of explicitly feedback of input and output in the past. Thus, the network is able to identify a system has an unknown order or an unknown delay. Training algorithm and the theoretical rationality are provided in this paper. The validity of the method is verified by simulation of dynamic system identification, and it is of great significance in the field of adaptive control.
引用
收藏
页码：3051 / 3054
页数：4
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