A design method of optimal control system by use of neural network
A design method of optimal control system by use of neural network
复制标题
一种基于神经网络的最优控制系统设计方法
DOI：
10.1109/icnn.1997.616139
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
K. Inoue
中科院分区：
文献类型：
--
作者：
H. Nakanishi;T. Kohda;K. Inoue
本文提出了一种利用神经网络设计最优控制系统的方法。由于正常的反向传播（BP）方法不能适用于这种情况下，我们选择鲍威尔的共轭方向算法的神经网络的训练。在调节器问题中，神经网络用作状态反馈控制器，而在伺服问题中，它既用作前馈控制器又用作反馈控制器。该方法可以应用于传统方法无法解决的各种问题。仿真结果表明了该方法的有效性。
This paper proposes a method to design an optimal control system by use of a neural network. Because the normal backpropagation (BP) method cannot be applied to this case, we choose Powell's conjugate direction algorithm for training the neural network. In a regulator problem, the neural network functions as a state feedback controller, and in a servo problem it functions as both feedfoward and feedback controller. The proposed method can be applied to various problem where conventional methods cannot be applied. Simulation results show the effectivity of the proposed method.