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根据模糊系统的结构，构造等价结构的神经网络，针对工程实际应用中模糊控制对于时变参数非线性系统缺乏在线自学习或自调整能力的缺陷，设计了一种增强模糊控制规则自学习能力的模糊神经网络控制器．仿真研究和模拟实验证明了方法的可行性．
According to the structure of fuzzy system and constructing neural network with equivalent structure, aiming at the defect that fuzzy control is lack of online self-learning or self-adjusting ability for nonlinear systems with time-varying parameters in engineering practice, a self-learning ability of fuzzy control rules is designed Fuzzy Neural Network Controller. Simulation research and simulation experiments prove the feasibility of the method.