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近似系统辨识:失配与延迟

Approximate system identification: Misfit versus latency
课程网址: http://videolectures.net/aispds08_markovsky_asi/  
主讲教师: Ivan Markovsky
开课单位: 南安普敦大学
开课时间: 2008-08-05
课程语种: 英语
中文简介:
在系统识别中,有两种完全不同的方法,用于量化模型和数据不匹配,它们是不匹配和延迟。本文的目的是解释它们背后的基本原理,并将它们分别与统计估计方法、变量误差回归和经典回归方法相联系。
课程简介: Two fundamentally different approaches in system identification, which are used for quantification of the model–data mismatch, are misfit and latency. The aim of this talk is to explain the rationale behind them and link them to statistical estimation methods—errors-in-variables regression and classical regression—respectively.
关 键 词: 近似系统; 失配; 延迟
课程来源: 视频讲座网
最后编审: 2021-02-03:nkq
阅读次数: 38