کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4943841 | 1437721 | 2017 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Observer-based adaptive fuzzy controller for nonlinear systems with unknown control directions and input saturation
ترجمه فارسی عنوان
کنترل کننده فازی تطبیقی مبتنی بر مشاهدات برای سیستم های غیر خطی با جهات کنترل ناشناخته و اشباع ورودی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
This paper addresses design of an observer-based adaptive fuzzy controller for a class of single-input-single-output (SISO) nonlinear systems with unknown dynamics subject to input nonlinearity and unknown direction. The proposed controller is singularity free. A high-gain observer is designed to estimate the unmeasured states, and the Lipschitz condition for proving boundedness of the estimated states is relaxed. The Nussbaum function is used to handle the unknown virtual control directions and the backstepping technique has been applied for controller design. It is proved that all closed loop signals are semi-globally uniformly ultimately bounded (SGUUB) and the output tracking error converges to a small neighborhood of the origin by choosing the design parameters appropriately. Numerical example illustrates effectiveness of the proposed method even for the system with a change in control direction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 314, 1 May 2017, Pages 24-45
Journal: Fuzzy Sets and Systems - Volume 314, 1 May 2017, Pages 24-45
نویسندگان
Mohammad Reza Askari, Mohammad Shahrokhi, Mahdi Khajeh Talkhoncheh,