کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10323745 | 661332 | 2005 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Output-feedback control of uncertain nonlinear systems using a self-structuring adaptive fuzzy observer
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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: Output-feedback control of uncertain nonlinear systems using a self-structuring adaptive fuzzy observer Output-feedback control of uncertain nonlinear systems using a self-structuring adaptive fuzzy observer](/preview/png/10323745.png)
چکیده انگلیسی
This paper describes the design of an output-feedback controller based on an adaptive fuzzy observer for uncertain single-input, single-output nonlinear dynamical systems. We have focused on the realization of a minimal dynamic order for the adaptive fuzzy observer. For this purpose, we adopt an adaptive fuzzy observer in which no strictly positive real (SPR) condition is needed and we combine a self-structuring scheme with an on-line estimation of fuzzy parameters. By using this proposed scheme, we can reduce the dynamic order of the adaptive output-feedback fuzzy control system. The Lyapunov synthesis approach is used to guarantee a global uniform ultimate boundedness property of the state estimation error and tracking error, as well as all other signals in the closed-loop system. No a priori knowledge of an upper limits on the uncertainties including optimal parameters and modeling errors is required. The theoretical results are illustrated through simulation examples.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 151, Issue 1, 1 April 2005, Pages 21-42
Journal: Fuzzy Sets and Systems - Volume 151, Issue 1, 1 April 2005, Pages 21-42
نویسندگان
Jang-Hyun Park, Gwi-Tae Park, Seong-Hwan Kim, Chae-Joo Moon,