کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6856056 | 1437706 | 2017 | 40 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Stabilization of Takagi-Sugeno models with non-measured premises: Input-to-state stability approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
This work deals with the observer-based output stabilization problem for Takagi-Sugeno models with non-measured premises. It aims at providing efficient design methods for the controller/observer pair with minimal constrained hypothesis on the model non-linear functions. The main idea is to consider the closed loop and the error dynamic as two interacting subsystems and study them in the Input to State Stability framework. This paper provides also some results about the existence of a stabilizing output feedback for all models of a sub-class of Takagi-Sugeno models. To illustrate the efficiency of the proposed design procedures, illustrative examples and a comparative study with existing results in the literature based on more restrictive hypothesis are presented.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 329, 15 December 2017, Pages 108-126
Journal: Fuzzy Sets and Systems - Volume 329, 15 December 2017, Pages 108-126
نویسندگان
Sonia Maalej, Alexandre Kruszewski, Lotfi Belkoura,