| 引用本文: | 王耀南.一种用于非线性控制的神经网络模糊自组织控制器[J].控制理论与应用,1997,14(5):748~753.[点击复制] |
| WANG Yaonan.A Neural Fuzzy Logic Self-Organizing Controller for Nonlinear System Control[J].Control Theory and Technology,1997,14(5):748~753.[点击复制] |
|
| 一种用于非线性控制的神经网络模糊自组织控制器 |
| A Neural Fuzzy Logic Self-Organizing Controller for Nonlinear System Control |
| 摘要点击 1033 全文点击 441 投稿时间：1994-12-14 修订日期：1996-12-16 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 |
| 1997,14(5):748-753 |
| 中文关键词 模糊逻辑 神经网络 模糊自组织控制 智能控制 |
| 英文关键词 fuzzy logic neural networks fuzzy self-organizing control intelligent control |
| 基金项目 |
|
| 中文摘要 |
| 本文提出一种神经网络自组织控制器，并应用于非线性跟踪控制中，为了加快神经模糊控制器的在线学习，文中给出了一种变斜率的是速梯度下降学习算法．仿真结果表明，该控制是有效的. |
| 英文摘要 |
| A neural fuzzy logic self-organizing controller is proposed and applied to control of a non-linear learning tracking problem- The proposed controller can self adjust its control rules by modifying the weights of the network on-line such that it can improve response performance of the nonlinear plant. In this paper，a weight-learning algorithm is presented using the gradient descent method with a veriable-slopes，which is useful to accelerate learning and improve convergence，The effectiveness of the proposed control scheme is illustrated through simulations. |