کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5004394 1461196 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Neural networks for tracking of unknown SISO discrete-time nonlinear dynamic systems
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Neural networks for tracking of unknown SISO discrete-time nonlinear dynamic systems
چکیده انگلیسی

This article presents a Lyapunov function based neural network tracking (LNT) strategy for single-input, single-output (SISO) discrete-time nonlinear dynamic systems. The proposed LNT architecture is composed of two feedforward neural networks operating as controller and estimator. A Lyapunov function based back propagation learning algorithm is used for online adjustment of the controller and estimator parameters. The controller and estimator error convergence and closed-loop system stability analysis is performed by Lyapunov stability theory. Moreover, two simulation examples and one real-time experiment are investigated as case studies. The achieved results successfully validate the controller performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISA Transactions - Volume 59, November 2015, Pages 363-374
نویسندگان
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