Data-based mechanistic modeling, forecasting, and control

被引：9
作者：
Young, P [1 ]
Chotai, A [1 ]
机构：
[1] Univ Lancaster, Inst Environm & Nat Sci, Ctr Res Environm Syst & Stat, Lancaster LA1 4YQ, England
来源：
IEEE CONTROL SYSTEMS MAGAZINE | 2001年 / 21卷 / 05期
关键词：
D O I：
10.1109/37.954517
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 article shows how parametrically efficient, low-order stochastic models can be produced that reflect the dominant modal characteristics of a system and can be interpreted in physically meaningful terms.
引用
收藏
页码：14 / +
页数：15
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