System Identification for Robust Design

稳健设计的系统识别

• 批准号: 9303356
• 负责人: C. Jacobson
• 金额: $ 3.5万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-15 至 1996-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9303356&HistoricalAwards=false
• 关键词: System; Identification; Robust; Design

9303356 Jacobson The purpose of the proposed research is to study robust system identification methods. Robust system identification algorithms produce models that are appropriate for use in robust design. In particular, the resulting models are accompanied by a quantification of the identification error which allows a subsequent design to proceed against a family of possible systems. The combination of the envisioned robust system identification methods from this research program with robust design procedures from control and communication theory will enable important technologies to operate at higher performance and reliability than they currently are able to attain. The research issues that will be addressed in this program are the continued development of existing robust system identification methods (in particular, to address practical implementation issues), the extension of robust system identification methods to classes of system models not previously addressed (in particular, to time varying and finite time duration processes) and the application of the system identification algorithms developed to important technological areas. The application of the system identification algorithms developed to important technological areas. The relevant application studies that are part of the proposed research program are robust detection techniques involving underwater acoustics and high performance control of a flexible structure. ***

9303356 Jacobson所提出的研究的目的是研究鲁棒系统辨识方法。 鲁棒系统识别算法产生适合用于鲁棒设计的模型。 特别是，由此产生的模型伴随着量化的识别误差，这使得随后的设计，以进行对一个家庭的可能的系统。 本研究计划中设想的鲁棒系统识别方法与控制和通信理论中的鲁棒设计程序相结合，将使重要技术能够以比目前更高的性能和可靠性运行。 该计划将解决的研究问题是继续发展现有的鲁棒系统辨识方法（特别是，为了解决实际实施问题），将鲁棒系统识别方法扩展到以前没有解决的系统模型类别（特别是，时变和有限持续时间过程）以及系统辨识算法在重要技术领域的应用。 系统辨识算法的应用发展到重要的技术领域。 相关的应用研究，是拟议的研究计划的一部分是强大的检测技术，涉及水下声学和高性能控制的柔性结构。 ***