| 基于快速BP算法的非线性系统神经网络自校正控制器 |
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| 引用本文： | 张秀玲,高美静.基于快速BP算法的非线性系统神经网络自校正控制器[J].自动化与仪器仪表,2001(5):17-19. |
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| 作者姓名： | 张秀玲 高美静 |
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| 作者单位： | 燕山大学电气工程学院,秦皇岛,066004 |
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| 基金项目： | 本文由燕山大学科技发展基金资助 |
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| 摘 要： | 提出了对于一大类未知，不确定，时变单输入单输出离散非线性系统，利用三层BP网络，采用快速BP算法构成学习和自校正控制的方案，针对同一被控对象，设计了PID控制器，仿真结果表明本文所提出的神经网络自校正控制的优越之处。
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| 关 键 词： | 快速BP算法 PID控制 神经网络自校正控制 非线性系统 控制器 |
| 文章编号： | 1001-9227(2001)05-0017-03 |
The design and research of nonlinear system neural network self- Turning controller based on the fast BP algorithm |
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| Zhang Xiuling,etc..The design and research of nonlinear system neural network self- Turning controller based on the fast BP algorithm[J].Automation & Instrumentation,2001(5):17-19. |
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| Authors: | Zhang Xiuling etc |
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| Abstract: | A learning and adaptive control scheme for a general class of unknown,uncertainty,variant with time SISO discrete-time nonlinear systems using three-layer BP neural network and fast BP algorithm is presented.At the same time,as far as the same plant is concerned,author design a PID controller,the merits of neural network self-turning controllers is demonstrated by simulation studies. |
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| Keywords: | Fast BP algorithm PID controller nerual network self-turning controller |
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