文章基本信息

标题：Robust stabilization using a sampled-data strategy of uncertain neutral state-delayed systems subject to input limitations
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作者：Nabil El Fezazi ; Fatima El Haoussi ; El Houssaine Tissir 等
期刊名称：International Journal of Applied Mathematics and Computer Science
电子版ISSN：2083-8492
出版年度：2018
卷号：28
期号：1
页码：1-12
DOI：10.2478/amcs-2018-0008
出版社：De Gruyter Open
摘要：Stabilization of neutral systems with state delay is considered in the presence of uncertainty and input limitations in magnitude. The proposed solution is based on simultaneously characterizing a set of stabilizing controllers and the associated admissible initial conditions through the use of a free weighting matrix approach. From this mathematical characterization, state feedback gains that ensure a large set of admissible initial conditions are calculated by solving an optimization problem with LMI constraints. Some examples are presented to compare the results with previous approaches in the literature.
关键词：robust stabilization; sampled;data; time;delay systems; input saturation; admissible initial conditions; LMI;