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PID参数自适应模糊控制器将模糊逻辑推理引入PID参数的在线自调整，是目前一种较为先进的控制器。
Fuzzy controller for parameters adaptation of PID controller is a more advanced controller in industrial control at present, because it employ fuzzy logic reference to adjust PID parameters on line.
与普通模糊控制以及仅采用遗传优化的模糊控制相比，具有在线自调整功能的模糊控制具有更好的控制效果和鲁棒性。
Comparing with the conventional FLC and the FLC optimized by GA only, the FLC with online self-tuning performance has better control effect and robustness.
该模型利用RBF神经网络的非线性逼近能力对预测日负荷进行了预测，并采用在线自调整因子的模糊控制对预测误差进行在线智能修正。
The model forecasts the daily load by the nonlinear approaching capacity of the RBF neural network, than corrects the errors by on-line self-tuning factors of fuzzy control.
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