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

页码：14 / +

页数：15

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