The reduced order modeling, which is in H2 norm criterion, is put forward, and the method to resolve it based on genetic algorithms is obtained.

提出了基于H2范数的系统降阶准则，并且利用遗传算法实现了基于该准则的系统降阶。

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For the Non-Newtonian fluid, Finite Element Method (FEM) is used to have an accurate description of the fluid flow details and this result can be used for further reduced-order modeling.

然后针对一类复杂的非牛顿流体，采用有限元方法对其建模分析，得到的结果可以为进一步的简化解析建模提供参考。

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The optimization of the controller parameters with the CRS algorithm based on the reduced-order modeling is presented.

根据降阶的系统模型、利用基本CRS算法对控制器参数进行优化。

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