کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4948470 1439613 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive neural control for a class of stochastic non-strict-feedback nonlinear systems with time-delay
ترجمه فارسی عنوان
کنترل عصبی تطبیقی ​​برای یک طبقه از سیستم های غیر خطی غیر تصادفی با تاخیر زمانی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
This paper addresses adaptive neural control for a class of non-strict-feedback stochastic nonlinear systems with time delays. An important structural property of radial basis function (RBF) neural networks (NNs) is introduced to overcome the design difficulty from the non-strict-feedback structure. The Lyapunov-Krasovskii functional is used for control design and stability analysis. Further, a backstepping-based adaptive neural control strategy is proposed. The suggested adaptive neural controller guarantees that all the closed-loop signals are semi-globally uniformly ultimately bounded (SGUUB) and the tracking error converges to a small neighborhood of the origin. Simulation results demonstrate the effectiveness of the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 214, 19 November 2016, Pages 750-757
نویسندگان
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