The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.
采用局部线性化方法，用T-S模糊线性模型逼近非线性系统。
The results obtained by using Takagi-Sugeno fuzzy system were better than those by commonly used BP-networks.
结果表明，用高木-关野模糊系统得到的结果比通常用的BP网络要好。
With a proper network training parameter, 100% correctness can be obtained by using Takagi-Sugeno fuzzy system.
选用适当的网络训练参数，正确率可达到100%。
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