This paper presents an approximate internal model control approach for unknown nonlinear discrete SISO systems based on the support vector machine(SVM).
该文对于未知非线性离散单输入单输出（SISO）系统提出了一种基于支持向量机的内模控制方法。
The paper forword a mathematical model of stream function for sinkings with no internal mandrel and applies the upper bound approach principle to make further deduction and calculation.
对无芯棒缩管提出了流函数的数学模型，应用上限原理加以推导和数值运算。
The approach is based on combining the concept of non-linear internal model control, strong acid equivalent(SAE) and self-adaptive mechanism.
该方案结合了非线性内模控制、自适应机制和强酸当量（SAE）的概念。
The approach considers the internal process and its impact on the total performance. In reality the model is a special network DEA model, but differs from the previous network DEA models.
本文提出的模型实质上是一类特殊的网络DEA模型，其评价原理有别于已有的研究成果，但更有助于管理者确定生产过程的非有效来源及其效率改进方向。
The approach considers the internal process and its impact on the total performance. In reality the model is a special network DEA model, but differs from the previous network DEA models.
本文提出的模型实质上是一类特殊的网络DEA模型，其评价原理有别于已有的研究成果，但更有助于管理者确定生产过程的非有效来源及其效率改进方向。
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