کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4943938 | 1437719 | 2017 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Sampled-data Hâ fuzzy filtering for nonlinear systems with missing measurements
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Sampled-data Hâ fuzzy filtering for nonlinear systems with missing measurements Sampled-data Hâ fuzzy filtering for nonlinear systems with missing measurements](/preview/png/4943938.png)
چکیده انگلیسی
In this paper, a sampled-data Hâ fuzzy filtering problem is considered for nonlinear systems with missing measurements. The nonlinear sampled-data system and missing measurements are assumed to be represented by a Takagi-Sugeno (T-S) fuzzy system and an independent, identically distributed Bernoulli random process, respectively. Based on the fuzzy system, the Hâ fuzzy filtering problem is formulated to design the sampled-data fuzzy filter. By using the exponential mean-square stability definition, the stability condition with an Hâ performance is guaranteed for the fuzzy system with the sampled-data fuzzy filter, and its sufficient condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed fuzzy filtering technique.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 316, 1 June 2017, Pages 82-98
Journal: Fuzzy Sets and Systems - Volume 316, 1 June 2017, Pages 82-98
نویسندگان
Geun Bum Koo, Jin Bae Park, Young Hoon Joo,