| 引用本文: | 李 翔,陈增强,袁著祉.非最小相位非线性系统的简单递归神经网络控制(英文)[J].控制理论与应用,2001,18(3):456~460.[点击复制] |
| LI Xiang,CHEN Zeng-qiang,YUAN Zhu-zhi.Simple Recurrent Neural Network Control for Non-minimum Phase Nonlinear System[J].Control Theory and Technology,2001,18(3):456~460.[点击复制] |
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| 非最小相位非线性系统的简单递归神经网络控制(英文) |
| Simple Recurrent Neural Network Control for Non-minimum Phase Nonlinear System |
| 摘要点击 1241 全文点击 1249 投稿时间：2000-07-07 修订日期：2001-01-15 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.3.027 |
| 2001,18(3):456-460 |
| 中文关键词 简单递归神经网络 非最小相位系统 非线性系统 神经网络控制 |
| 英文关键词 simple recurrent neural networks non minimum phase system nonlinear system neural network control |
| 基金项目 |
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| 中文摘要 |
| 从简单递归神经网络的统一结构出发设计了简单递归神经网络控制器, 在引入了控制加权的目标函数下优化神经网络权值学习, 因此是通常意义的神经网络控制器的推广. 证明了整个系统的稳定性, 并通过仿真验证了控制器的有效性. |
| 英文摘要 |
| We discuss a uniform structure of simple recurrent neural networks, based on which a novel neural control system is developed. With the introduction of the weighted control information into the neural controller's cost function, the method is an extension of the common neural networks controller proposed before. The stability of the whole neural control system is demonstrated and its effectiveness is verified via simulation. |