动态过程仿真的模糊整定方法

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI:10.1109/ANNES.1995.499461

G. Vachkov

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引用次数: 0

摘要

针对一阶动态过程的连续辨识问题，提出并研究了一种新的多输入多输出模糊推理方法。它由两个模糊规则库组成，分别调节增益K和时间常数T。介绍了一种特殊的“软开关”过程，称为模糊开关。它在每个时刻计算两个模糊推理过程所需的调优激活程度。通过一个试验实例对所提出的模糊推理方法的实际适用性进行了广泛的评价。

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Fuzzy tuning method for simulation of dynamic processes

A new MIMO type (multi-input, multi-output) fuzzy inference procedure for successive identification of a dynamic process of first order is proposed and investigated. It consists of two fuzzy rule bases adjusting the gain K and the time constant T respectively. A special "soft switching" procedure called fuzzy switch has been introduced. It calculates at each time instant the activation degree of tuning needed for both fuzzy reasoning procedures. A test plant example has been used for extensive evaluation of the practical applicability of the proposed fuzzy reasoning method.

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来源期刊

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

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