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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,对模糊现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.这种控制方法可用于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方法分析和控制的复杂系统.仿真结果证明了这种方法的有效性.
A neural network method for fuzzy modeling and control of complex systems is proposed.Based on BP neural network, the conclusion parameters and membership functions of fuzzy rules are modified online to realize the self-organization of fuzzy rules. The control object lacks accurate mathematical models or has complex systems such as time-delay, high-order, nonlinear, which are difficult to be analyzed and controlled by the existing control theory methods. Simulation results show the effectiveness of this method.