کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410121 | 679124 | 2013 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Triple Lyapunov functional technique on delay-dependent stability for discrete-time dynamical networks
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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: Triple Lyapunov functional technique on delay-dependent stability for discrete-time dynamical networks Triple Lyapunov functional technique on delay-dependent stability for discrete-time dynamical networks](/preview/png/410121.png)
چکیده انگلیسی
In this letter, through constructing some novel triple Lyapunov–Krasovskii functional (LKF) terms, two novel sufficient conditions are established to guarantee a class of discrete-time delayed dynamical networks to be asymptotically stable, in which the information of time-delay can be fully utilized. Through employing the reciprocal convex technique, some previously ignored terms can be reconsidered when estimating the time difference of LKF and the criteria can be presented via linear matrix inequalities (LMIs), whose solvability heavily depends on the information of addressed systems. Finally, two numerical examples will be provided to show that the achieved conditions can be less conservative than some existing results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 122, 25 December 2013, Pages 221–228
Journal: Neurocomputing - Volume 122, 25 December 2013, Pages 221–228
نویسندگان
Ting Wang, Mingxiang Xue, Shumin Fei, Tao Li,