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گواهی نمایه سازی مقاله Comparitive Performance Analysis of Various Training for Controlof Inverted Pendulum Using Narma-L2 Control

عنوان مقاله: Comparitive Performance Analysis of Various Training for Controlof Inverted Pendulum Using Narma-L2 Control
شناسه (COI) مقاله: REGCMAES02_009
منتشر شده در دومین همایش ملی ریاضیات و کاربردهای آن در علوم مهندسی در سال ۱۳۹۴
مشخصات نویسندگان مقاله:

Amirreza Kosari - Department of New Sciences and Technologies, University of Tehran, Iran
Payam Ghassemi - Department of New Sciences and Technologies, University of Tehran, Iran
Ali Gilani - Department of New Sciences and Technologies, University of Tehran, Iran

خلاصه مقاله:
Abstract—In this study, system identification of an inverted pendulum using multi-layer perceptron neural network for modeling would be demonstrated. Moreover, the effect of initial condition and size of hidden layer of multi-layer perceptron neural network in control of an inverted pendulum plant would be presented. The inverted pendulum is an interesting plant because it could be a simple model for most physical systems. The nature of this kind of systems is unstable. The ability of controlling the unstable system in a wide range bout the operation point is the advantage of nonlinear controller with respect to linear controllers. Because of the plant that is used in this article is a nonlinear and unstable one, we attempt to control it by NARMA-L2 controller. In addition, the effect of different neural network on NARMA-L2 controller is studied. It is demonstrated that this kind of controller has a satisfactory performance by different scenarios.

کلمات کلیدی:
Inverteed pendulum, neural network, NARMA-L2

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-REGCMAES02-REGCMAES02_009.html