Frequency-Domain Approaches To Control-Relevant System Identification

控制相关系统辨识的频域方法

• 批准号: 9504878
• 负责人: Jitendra Tugnait
• 金额: $ 18.18万
• 依托单位: Auburn University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-10-01 至 1999-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9504878&HistoricalAwards=false
• 关键词: Frequency; Domain; Approaches; Control; Relevant

9504878 Tugnait The goal of the proposed research is to provide estimated system models together with evaluated (quantified) modeling errors given experimental input-output data for a wide variety of systems (electrical, chemical, power, manufacturing and production, robotic, electronic etc.) operating in open or closed loop. Such information (system model and quantified modeling error) is crucial to synthesis of a robust controller which maintains its design objectives under uncertain modeling. As such, successful completion of the proposed research is expected to significantly impact the state-of-the-art in robust control design. Approaches are being considered to transform the given time-domain experimental input-output data into a frequency-domain transform function model description along with the associated noise error characterization. Both second-order spectrum and cross-spectrum of the data record as well as higher-order integrated polyspectrum of the data record is being exploited for such purposes. This allows for far fewer a priori assumptions; rather such modeling is dictated by the acquired data. The case of noisy input measurements is also being considered. A stochastic embedding approach is being followed for quantifying modeling errors. ***

9504878 Tugnait 拟议研究的目标是提供估计的系统模型以及给定各种系统（电气、化学、电力、制造和生产、机器人、电子等）的实验输入输出数据的评估（量化）建模误差。 ）以开环或闭环运行。 这些信息（系统模型和量化的建模误差）对于合成鲁棒控制器至关重要，该鲁棒控制器在不确定建模下保持其设计目标。 因此，成功完成拟议研究预计将对鲁棒控制设计的最新技术产生重大影响。 正在考虑将给定的时域实验输入输出数据转换为频域变换函数模型描述以及相关的噪声误差表征的方法。 数据记录的二阶谱和交叉谱以及数据记录的高阶积分多谱都被用于此类目的。 这允许更少的先验假设；相反，这种建模是由获取的数据决定的。 还考虑了噪声输入测量的情况。 采用随机嵌入方法来量化建模误差。 ***