Aiming at the problem of difficult system identification modeling for control system, an identification modeling system was designed for control system by using support vector regression (SVR).

针对非线性控制系统辨识建模较为困难的问题，利用回归型支持向量机(SVR)设计了一例控制系统的辨识建模系统。

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Then, by the function expansion, the nonlinear transfer function of this model was converted to intermediate model which is linear one and can be identified using support vector regression (SVR).

再利用函数展开将模型的非线性传递函数转换为等价的线性中间模型，并通过SVR求取中间模型参数。

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Using linear programming technique and scaling kernel function, the support vector regression model was obtained.

通过线性规划技术和采用尺度函数作为核函数来实现支持向量回归模型。

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Using linear programming technique and scaling kernel function, the support vector regression model was obtained.

通过线性规划技术和采用尺度函数作为核函数来实现支持向量回归模型。

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