| 基于模糊关系的非线性系统辨识研究 |
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| 引用本文： | 万晓莉,吴建乐.基于模糊关系的非线性系统辨识研究[J].北方工业大学学报,2003,15(3):54-58. |
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| 作者姓名： | 万晓莉 吴建乐 |
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| 作者单位： | 西南交通大学应用数学系,610031,四川成都 |
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| 摘 要： | 分析了传统的利用神经网络进行非线性辨识的方法在系统有噪声数据时鲁棒性差且系统辨识结构不准确的问题，提出了一种基于模糊关系的系统辨识与建模方法。该方法将模糊控制与神经网络有机结合，在优化系统辨识结构的同时有效降低了噪声数据对系统的干扰。
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| 关 键 词： | 模糊关系 非线性系统 系统辨识 BP算法 多层前向神经网络 模型 模糊控制 |
| 修稿时间： | 2002年7月28日 |
Fuzzy Relation-based Model for Nonlinear System Identification |
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| Wan Xiaoli,Wu Jianle.Fuzzy Relation-based Model for Nonlinear System Identification[J].Journal of North China University of Technology,2003,15(3):54-58. |
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| Authors: | Wan Xiaoli Wu Jianle |
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| Abstract: | The problem of learning algorithm of the neural networks for system identification is discussed. Given the problem that robust of the algorithm is bad and the construction of system identification is inaccurate, a new modeling method based on fuzzy relation is presented. The new method combines fuzzy control with neural networks, which not only diminishes noise perturbation but also improves the construction of system identification. |
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| Keywords: | fuzzy relation fuzzy control neural network system identification |
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