کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407309 678137 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust adaptive decentralized fuzzy control for stochastic large-scale nonlinear systems with dynamical uncertainties
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Robust adaptive decentralized fuzzy control for stochastic large-scale nonlinear systems with dynamical uncertainties
چکیده انگلیسی

In this paper, a robust adaptive fuzzy decentralized backstepping output feedback control approach is proposed for a class of uncertain large-scale stochastic nonlinear systems with unknown nonlinear functions, dynamical uncertainties and without the measurements of the states. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy state observer is designed for estimating the unmeasured states. To solve the problem of the dynamical uncertainties, the changing supply function technique is incorporated into the backstepping recursive design technique, and a new robust adaptive fuzzy decentralized output feedback control approach is constructed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) in probability, and the observer errors and the output of the system converge to a small neighborhood of the origin by choosing design parameters appropriately. A simulation example is provided to show the effectiveness of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 97, 15 November 2012, Pages 33–43
نویسندگان
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