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提出一种基于遗传算法学习的模糊小脑模型神经网络控制器 ,即利用遗传算法学习和优化 FCMAC控制器的连接权重 ,构成一个 GA-FCMAC控制器 ,该算法适用于多输入 -多输出系统 ,对于倒立摆非线性系统的仿真结果证明 ,本算法的有效性和适应性
This paper presents a fuzzy neural network controller based on genetic algorithm to learn and optimize the connection weight of FCMAC controller by using genetic algorithm to form a GA-FCMAC controller. This algorithm is suitable for multi-input-multiple output system The simulation results of the inverted pendulum nonlinear system prove that this algorithm is effective and adaptable