.png){kind=icon}
返回
Prediction error methods for limit cycle data
.png){kind=icon}
PRE
AI
DOI：10.1016/S0005-1098(02)00085-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Prediction error methods are considered for identification of the forward linear dynamics of nonlinear feedback closed-loop systems which operate in a perturbed stable limit cycle. A model of the signals measured in a neighborhood of the limit cycle is presented and shown to satisfy a quasistationarity property. Quasistationarity is then used to prove that prediction error methods are both convergent and consistent for our data model. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keyword:
closed-loop identification
limit cycle
prediction error methods
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
暂无机构信息
引用论文
分享收藏
分享收藏Campbell equilibrium equation and pseudo-likelihood estimation for non-hereditary Gibbs point processes.png)
Bernoulli
OAAI
BernoulliIF0
OAAI分享收藏 没有更多内容
没有更多内容