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将模糊神经网络应用于传统线性积分自适应控制 ,构造了一类模糊神经自适应方法 ,用于消除非线性系统响应偏差。模糊神经网构成直接非线性自适应控制器。对线性及非线性对象的仿真控制以及与经典自适应控制的比较 ,表明了模糊神经自适应控制器的有效性
The fuzzy neural network is applied to traditional linear integral adaptive control, and a kind of fuzzy neural adaptive method is constructed to eliminate the nonlinear system response deviation. Fuzzy neural network constitutes a direct nonlinear adaptive controller. The simulation control of linear and non-linear objects and the comparison with classical adaptive control show the effectiveness of fuzzy neural adaptive controller