结果表明该算法能够对动态非线性系统的输入输出快速学习和建模，优于其它小波网络的学习算法。

The results show that this algorithm can model input and output learning kernel of dynamic nonlinear system quickly, which is superior to other learning methods of wavelet network.

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由于供水系统是非常复杂的动态非线性系统，在实际管网的运行中，很难以一个或几个统一的显式函数关系描述管网的工况。

Water supply system is a complicatedly dynamic nonlinear system, it is difficult to simulate by using one or several explicit functions in pipe networks.

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研究非线性系统的稳定控制问题，采用模糊动态模型方法，并将全局模糊系统模型表示成不确定系统形式。

The stable problem of nonlinear system was studied. Fuzzy dynamical models were used, and the global fuzzy models were translated into the system with uncertainties.

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