| 引用本文: | 罗旭光，刘 丁 ， 万百五.自适应模糊辨识及其在大系统中的应用*[J].控制理论与应用,1998,15(3):352~357.[点击复制] |
| LUO Xuguang，LIU Ding，WAN Baiwu.Adaptive Fuzzy Identification and Its Applicationto the Hierarchical Control of Large Scale Systems[J].Control Theory and Technology,1998,15(3):352~357.[点击复制] |
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| 自适应模糊辨识及其在大系统中的应用* |
| Adaptive Fuzzy Identification and Its Applicationto the Hierarchical Control of Large Scale Systems |
| 摘要点击 878 全文点击 402 投稿时间：1996-11-04 修订日期：1997-04-14 |
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| DOI编号 |
| 1998,15(3):352-357 |
| 中文关键词 模糊逻辑 神经网络 动态过程 稳态模型 系统辨识 大系统 |
| 英文关键词 fuzzy logic neural network dynamic processes steady model systems identification large scale systems |
| 基金项目 |
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| 中文摘要 |
| 本文基于T-S模糊模型构造了一种新的自适应模糊神经网络，给出了网络的连接结构和学习算法，它能自动学习和修正前件参数及模糊规则. 将其用于大系统随机稳态递阶优化的控制建模中，仿真结果表明，该方法具有收敛速度快、辨识精度高、泛化能力强等特点，可当作复杂大系统建模的一种有效手段. |
| 英文摘要 |
| ln this paper， a new adaptive fuzzy neural network based on the T-S model is proposed. Also， the network structure and the learning algorithms are given， and it is used in the hierarchical systems for large scale processes operating in random steady state. The simulation results show that the method has the properties of fast convergence， high accuracy and better capability of generalizing. So it is a powerful tool for modeling large scale systems in steady state. |