针对工业过程和实际控制对象的慢时变非线性的特点，设计了一种预测模型的单神经元PI控制器。
A single neuron PI controller with predictive model is designed according to nonlinear systems of many industry processes and practical plants.
该有限元模型考虑了路面结构层的实际温度状况(温度随着深度的增加而变化)和沥青混凝土的蠕变效应。
The model took into account the actual temperature of asphalt pavement structure layers (temperature changes as the structure depth increases) and creep effects of asphalt concrete.
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