کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4943939 1437719 2017 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-fragile H∞ filtering for delayed Takagi-Sugeno fuzzy systems with randomly occurring gain variations
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Non-fragile H∞ filtering for delayed Takagi-Sugeno fuzzy systems with randomly occurring gain variations
چکیده انگلیسی
In this study, we consider a non-fragile H∞ filter design for a class of continuous time delayed Takagi-Sugeno (T-S) fuzzy systems. The filter design is assumed to include randomly occurring gain variations according to the filter's implementation. Two independent Bernoulli distributions are employed to describe these random phenomena. We focus mainly on the design of a non-fragile filter so the filtering error system is asymptotically mean-square stable with the prescribed H∞ performance in the presence of both randomly occurring gain variations and a time delay. A sufficient condition is developed by employing the Lyapunov functional approach. Based on this condition, an improved H∞ filter for delayed T-S fuzzy system is described, which is free of randomly occurring gain variations. The filter parameters are obtained by solving a set of linear matrix inequalities. The effectiveness and the advantages of the proposed techniques are demonstrated by two numerical examples.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 316, 1 June 2017, Pages 99-116
نویسندگان
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