模糊控制算法matlab代码

一个完整的模糊控制器实现的Matlab代码示例如下：

%模糊控制器实现示例
clear all;
fisMat = mamfis;
fisMat = addInput(fisMat,[0 7],'Name',"E");
fisMat = addMF(fisMat,'E','trimf',[0 1 4.333],'Name','small');
fisMat = addMF(fisMat,'E','trimf',[1.6667 6 7],'Name','big');
fisMat = addOutput(fisMat,[0 7],'Name',"U");
fisMat = addMF(fisMat,'U','trimf',[0 1 4.333],'Name','small');
fisMat = addMF(fisMat,'U','trimf',[1.6667 6 7],'Name','big');
rulelist = [1 1 1 1;2 2 1 1];
fisMat = addRule(fisMat,rulelist);
u = evalfis(fisMat,4)

这段代码实现了一个模糊控制器。首先，我们创建一个mamfis对象，并添加输入和输出变量。在这个例子中，输入变量"E"的范围是0到7，输出变量"U"的范围也是0到7。然后，我们定义了输入和输出变量的隶属函数，例如"small"和"big"。接下来，我们定义了模糊规则列表，并将其添加到模糊控制器中。最后，我们使用evalfis函数来计算输入值为4时的模糊输出。

以上就是一个简单的模糊控制算法的Matlab代码示例。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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