NEURAL-NETWORK-BASED PARAMETER-ESTIMATION OF UNSTABLE AEROSPACE DYNAMIC-SYSTEMS

被引：11
作者：
RAOL, JR
机构：
[1] DLR Inst for Flight Mechanics, Braunschweig
来源：
IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 1994年 / 141卷 / 06期
关键词：
AEROSPACE DYNAMIC SYSTEM; NEURAL NETWORK; PARAMETER ESTIMATION;
D O I：
10.1049/ip-cta:19941506
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The application of neural network based schemes for parameter estimation of unstable/augmented aerospace dynamic systems is considered. The parameter estimation algorithms are programmed within the structure of recurrent neural networks (RRNs). Numerical simulation results are given.
引用
收藏
页码：385 / 388
页数：4
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