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Identification and experiment design for irregularly sampled processes

Identification and experiment design for irregularly sampled processes
不规则采样过程的识别和实验设计
批准号:
341778-2007
负责人:
Gopaluni, Bhushan
金额:
$1.24万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
翻译
在过程和生物医药行业中,测量变量的非规则抽样是很常见的。由于没有合适的传感器或由于更基本的物理限制,过程变量被不定期地测量。该项目的目标是(A)从线性和非线性过程的不规则采样数据中开发建模算法,(B)了解采样模式对模型估计一致性的影响,以及(C)开发实验设计和自适应估计的算法。
英文摘要
Irregular sampling of measured variables is commonplace in the process and biomedical industries. Process variables are measured irregularly either due to unavailability of appropriate sensors or due to more fundamental physical limitations. This project aims to (a) develop modeling algorithms from irregularly sampled data for both linear and nonlinear processes, (b) understand the affect of sampling pattern on the consistency of model estimates, and (c) develop algorithms for experiment design and adaptive estimation.
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