模糊逻辑方法在非线性特性识别中的应用

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI:10.1109/INES.1997.632453

A. Królikowski

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引用次数: 0

摘要

考虑了用模糊方法辨识非线性特性。模糊模型被表示为若干规则。规则的条件部分通过输入空间的模糊划分来确定，规则的动作部分是一个回归模型，其中必须识别回归系数。将该方法应用于分离励磁直流电动机的非线性特性辨识。

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Fuzzy logic approach to identification of nonlinear characteristic

Identification of nonlinear characteristic using fuzzy approach is considered. A fuzzy model is represented as a number of rules. The condition part of the rule is determined by a fuzzy partition of the input space, and the action part of the rule is a regression model where the regression coefficients have to be identified. The method is applied to identification of nonlinear characteristic of a separately excited DC motor.

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Proceedings of IEEE International Conference on Intelligent Engineering Systems

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