文章基本信息

标题：A MoliZoft System Identification Approach of the Just Walk Data
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作者：P. Lopes dos Santos ; M.T. Freigoun ; D.E. Rivera 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：12508-12513
DOI：10.1016/j.ifacol.2017.08.2060
语种：English
出版社：Elsevier
摘要：AbstractA system identification approach is used estimate linear time invariant models from the data of physical activity gathered in the Just Walk intervention conducted by the Designing Health Lab and the Control Systems Laboratory at Arizona State University A class of identification algorithms proposed elsewhere by one of the authors, denoted as MoliZoft, was reformulated and adapted to estimate models from data gathered in this experience. In this paper, the identification algorithms are described and the best models estimated for a particular participant are analysed and used to improve the results in future experiments.
关键词：KeywordsSystem identificationLeast squares identificationOutput error identificationPrediction error methodsSocialbehavioural sciences