| 一种PID型神经网络控制器 |
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| 引用本文： | 林金星,潘丰,苏云.一种PID型神经网络控制器[J].江南大学学报(自然科学版),2002,1(2):113-116. |
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| 作者姓名： | 林金星 潘丰 苏云 |
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| 作者单位： | 江南大学,通信与控制工程学院,江苏,无锡,214036 |
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| 摘 要： | 针对非线性的时滞系统 ,采用一种将PID控制规律融进神经元网络的控制器 ,并应用基于最小二乘递推算法的最小方差预测值来克服时滞误差 .运用Lyapunov稳定性定理 ,确定了系统稳定时控制器权系数的范围
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| 关 键 词： | 神经元网络控制器 最小二乘递推 时滞 Lyapunov稳定性定理 |
| 文章编号： | 1671-7147(2002)02-0113-04 |
| 修稿时间： | 2002年3月5日 |
A Kind of Artificial Neural Network Controller of PID |
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| LIN Jin-xing,PAN Feng,SUN Yun.A Kind of Artificial Neural Network Controller of PID[J].Journal of Southern Yangtze University:Natural Science Edition,2002,1(2):113-116. |
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| Authors: | LIN Jin-xing PAN Feng SUN Yun |
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| Abstract: | The PID control law is incorporated into the artificial neural network to control a class of nonlinear and time-delayed systems. The prediction of minimum-square based on recursive least-squares (RLS) algorithm is used to overcome the time delay. In addition, the Lyapunov stability theory is introduced to obtain the parameter domain of the controller for the stable systems. |
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| Keywords: | artificial neural network controller recursive least-squares time delay lyapunov stability theory |
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