کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
411751 679589 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Energy-to-peak filtering for T–S fuzzy systems with Markovian jumping: The finite-time case
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Energy-to-peak filtering for T–S fuzzy systems with Markovian jumping: The finite-time case
چکیده انگلیسی

This paper studies the robust finite-time energy-to-peak filtering problem for a class of uncertain nonlinear Markovian jumping systems (MJSs) with energy constraint external disturbances. The Takagi–Sugeno (T–S) fuzzy model is employed to represent the nonlinear MJSs. By selecting the appropriate Lyapunov–Krasovskii functional, a sufficient condition is derived such that the filtering error dynamic fuzzy MJSs are finite-time stable and have a prescribed level of L2–L∞ disturbance attenuation in a finite time-interval. The sufficient condition on the existence of robust finite-time energy-to-peak fuzzy filtering criterion is formulated in the form of linear matrix inequalities and the designed finite-time energy-to-peak fuzzy filter is described as an optimization one. A numerical example is given to illustrate the effectiveness of the proposed design approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 168, 30 November 2015, Pages 348–355
نویسندگان
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