文章基本信息

标题：Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing
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作者：Stanislav Aranovskiy ; Alexey Bobtsov ; Romeo Ortega 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：13
页码：99-104
DOI：10.1016/j.ifacol.2016.07.934
语种：English
出版社：Elsevier
摘要：AbstractThe problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradient-based estimation approach with global exponential convergence. Next, we apply the dynamic regressor extension and mixing technique to improve transient performance of the basic approach and ensure non-strict monotonicity of estimation errors. Simulation results illustrate benefits of the proposed solution.
关键词：Keywordsestimationperformancefrequency identificationgradient methods