| 摘要: |
| 结合神经网络与模糊逻辑，提出了一种新的控制方法，解决了对于非线性、时变、时滞严重、难以建立精确数学模型的动态控制问题。并应用于河流模型水位控制中，取得了很好的控制效果 |
| 关键词: 河流模型,神经网络,模糊控制,控制水位 |
| DOI： |
| 分类号:TV14 |
| 基金项目: |
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| The application of neural network prediction and fuzzy control in water level controlling of river models |
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Wu Yanchun Wu Changlin
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Wu Yanchun Wu Changlin( Huazhong University of Science and Technology ) Hui Gangqiao (Yangtze River Scientific Reserch Institute) Zhou Maohua( Huazhong University of Science and Technology)
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| Abstract: |
| Combining both neural network and fuzzy logic, this paper proposes a new control approach. This approach solves dynamic problems in which the control objects are nonlinear, time variant and time lagging and the precise model is difficult to be built. This approach found application in water level control of river models. The result is satisfactory. |
| Key words: river model, neural network, fuzzy control, controlled water level |
