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模糊神经网络控制器的设计与仿真
引用本文:赵国强 陈中华. 模糊神经网络控制器的设计与仿真[J]. 辽宁工程技术大学学报(自然科学版), 1999, 18(1): 39-42
作者姓名:赵国强 陈中华
作者单位:[1]辽宁工程技术大学教务处 [2]辽宁工程技术大学电气工程系
摘    要:提出了一种复杂系统模糊建模及控制的神经网络方法,通过BP神经网络,对模糊规则的结论参数和隶属函数进行在线修正,实现模糊规则的自组织,这种控制方法可用地对受控对象缺乏精确的数学模型或具有时滞,高阶,非线性等难以用现有的控制理论分析方法和控制的复杂系统,仿真结果证明了这种方法的有效性。

关 键 词:模糊控制 神经网络 BP算法 控制器 仿真

The Design and Simulation of the Control Device of Fuzzy Nerve Network
Zhao Guoqiang ,Chen Zhonghua. The Design and Simulation of the Control Device of Fuzzy Nerve Network[J]. Journal of Liaoning Technical University (Natural Science Edition), 1999, 18(1): 39-42
Authors:Zhao Guoqiang   Chen Zhonghua
Abstract:The article puts forward a complex system for fuzzy model-building and a method for a control nerve network .By means of BP nerve netWork, the conclusive parameters of the fuzzy principles and subordinate function are revised on line and self-organization of the fuzzy principles is realized. This control system can be used for a controlled object which lacks an accurate mathematical model or for a complex system which is difficult to analyze and control with the existing control method because of time-delay and nonlinearity. The simulation results show the effectiveness of this method.
Keywords:fuzzy control  nerve network  BP calculation method  
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