文章基本信息

标题：Backstepping Design for Output Feedback Stabilization for a Class of Uncertain Systems using Dynamic Extension ⁎
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作者：Frederic Mazenc ; Laurent Burlion ; Michael Malisoff 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：13
页码：260-265
DOI：10.1016/j.ifacol.2018.07.288
语种：English
出版社：Elsevier
摘要：AbstractWe revisit the backstepping approach. We show how bounded globally asymptotically stabilizing output feedbacks can be constructed for a family of nonlinear systems. The approach relies on the introduction of a dynamic extension and a converging-input-converging-state assumption. The technique presents several advantages. It provides control laws whose expressions are simple. It makes it possible to stabilize systems in the presence of certain types of uncertain terms which prevent the use of the classical backstepping technique. It applies in notable cases where only part of the state variable is measured.
关键词：Keywordsbacksteppingnonlinearoutput feedbackstabilization