| 引用本文: | 杨 熔 李永华 苏义鑫.用神经网络建立非线性系统模型研究[J].控制理论与应用,1995,12(1):81~86.[点击复制] |
| YANG Rong, LI Yonghua and SU Yixin.Research on Modelling Non-Linear Systems Using Neural Networks[J].Control Theory and Technology,1995,12(1):81~86.[点击复制] |
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| 用神经网络建立非线性系统模型研究 |
| Research on Modelling Non-Linear Systems Using Neural Networks |
| 摘要点击 799 全文点击 426 投稿时间：1993-09-11 修订日期：1993-12-27 |
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| DOI编号 |
| 1995,12(1):81-86 |
| 中文关键词 多层神经网络 辨识 递推预报误差法 非线性系统 建模 PWM直流调速系统 |
| 英文关键词 multilayered neural networks identification recursive prediction error algorithm non-linear system model PWM speed control system |
| 基金项目 |
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| 中文摘要 |
| 本文针对多层神经网络结构，运用递推预报误差（RPE）算法对离散非线性系统进行辨识研究。作为运用实例，本文对一个工业实际对象进行了神经网络动态建模。研究结果表明，神经网络方法是用于带有非线性特性工业过程建模的有效方法。 |
| 英文摘要 |
| This paper discusses the use of recursive prediction error algorithm of training multilayered neural networks for discrete time non-linear system identification. Results based on the simulated system and the dynamic modelling of an industrial example indicate that the recursive prediction error algorithm is attractive and effective for modelling of complicated industrial processes which possess non-linear characteristics. |