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模糊神经网络在时滞系统中的应用
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2009-06-23
h1654155275.3132
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本文采用基于模糊神经网络的控制器实现了对时滞系统的控制，采取模糊规则对输出误差进行预测，预测中假设系统输出变化较缓慢，以至可以忽略高次项，得到的输出误差经过神经网络算法对控制对象进行控制，算法采用BP算法，仿真实验得到了很好的结果，系统的时滞基本消除，动态特性符合要求。
关键词：模糊神经网络 控制 时滞
Abstract: The paper realize the controlling of time lag system using the controlling device based on fuzzy neural net forecast the output error using fuzzy rule, in the forecasting we suppose that the output of system chang so slowly that we can neglect high degree item, the output error control the controlled object after pass through neural net arithmetic. The arithmetic is BP arithmetic. The imitating reality experiment received very good results. The system’s time lag is largely eliminated and dynamic characteristic is up to the mustard.
Keywords: Fuzzy; Neural net; Control; Time lag
关键词：模糊神经网络 控制 时滞
Abstract: The paper realize the controlling of time lag system using the controlling device based on fuzzy neural net forecast the output error using fuzzy rule, in the forecasting we suppose that the output of system chang so slowly that we can neglect high degree item, the output error control the controlled object after pass through neural net arithmetic. The arithmetic is BP arithmetic. The imitating reality experiment received very good results. The system’s time lag is largely eliminated and dynamic characteristic is up to the mustard.
Keywords: Fuzzy; Neural net; Control; Time lag
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