کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406009 678055 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Generalized LMI observer design for discrete-time nonlinear descriptor models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Generalized LMI observer design for discrete-time nonlinear descriptor models
چکیده انگلیسی

The present paper provides a systematic way to generalize Takagi–Sugeno observer design for discrete-time nonlinear descriptor models. The approach is based on Finsler׳s lemma, which decouples the observer gains from the Lyapunov function. The results are expressed as strict LMI constraints. To obtain more degrees of freedom without altering the number of LMI constraints and thus relax the conditions, delayed Lyapunov functions and delayed observer gains are considered. Even more relaxed results are developed by extending the approach to αα-sample variation. The effectiveness of the proposed methods is illustrated via examples.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 182, 19 March 2016, Pages 210–220
نویسندگان
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