Identification of distributed parameter systems using subspace methods

使用子空间方法辨识分布参数系统

• 批准号: 261715-2008
• 负责人: Shang, Helen(Huilan)
• 金额: $ 1.75万
• 依托单位: Laurentian University of Sudbury
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=426766
• 关键词: Identification; distributed; parameter; systems; using

In industry, distributed parameter systems are widespread. Many high performance control methods have been proposed for distributed parameter systems but most have not been able to be applied in practice. However, high fidelity models are necessary to promote advanced control methods to industrial applications. This research program proposes to develop identification techniques using empirical data so that distributed parameter models for industrial systems can be obtained with high accuracy.

在工业中，分布式参数系统很普遍。针对分布式参数系统，人们提出了许多高性能控制方法，但大多数都未能在实践中应用。然而，高保真模型对于将先进控制方法推广到工业应用是必要的。该研究计划提出利用经验数据开发识别技术，以便能够高精度地获得工业系统的分布式参数模型。