在模糊控制器中又通过自调整修正因子模糊数模型的在线插值方法提高了控制器规则的自调整功能。
And in the fuzzy controller on-line interpolation of the self-tuning gene fuzzy model is employed to improve the self-adjusting abilities of the control rules.
工程实例表明，该模型能够满足工程的需要，且带有残差修正的自调整非等步长GM(1,1)模型的精度最高。
A practical engineering example verifies that these models can meet the project requirement; moreover the self-modifying GM (1, 1) model has the most high accuracy.
本文在应用了基本模糊控制器对结构模型控制之后，对原来的模糊控制器进行了改造，即对关键的三个因子进行自动的调整，构成自调整因子模糊控制器。
After using fuzzy method to control the model, this dissertation tries to improve the fuzzy controller, that to automatically adjust three key factors to consist adjust factor fuzzy controller.
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.
该文通过编写S函数的方法建立增益自调整的神经元二自由度pid控制的SIMULINK仿真模型，并给出仿真结果。
In this paper, SIMULINK simulation model of gain self-regulative neuron two-degree-of-freedom PID control is established, which is based on S-function. Also the simulation results are presented.
该文通过编写S函数的方法建立增益自调整的神经元二自由度pid控制的SIMULINK仿真模型，并给出仿真结果。
In this paper, SIMULINK simulation model of gain self-regulative neuron two-degree-of-freedom PID control is established, which is based on S-function. Also the simulation results are presented.
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