针对热风箱温度滞后的控制和卷绕过程中的非线性控制，本文提出了自调整因子模糊—PID复合控制器和PID参数自调整模糊控制器。
The paper presents Self-regulation factor Fuzzy-PID controller and PID self-regulation fuzzy controller in order to control temperature lagging object and nonlinear object in taking-up device.
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.
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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