控制系统中的神经网络

S. Saksida, F. Bremsak
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引用次数: 0

摘要

从方便控制任务的角度出发,讨论了一种带有线性输出函数的改进反向传播算法。提出了两种训练神经网络作为逆植物的方法。在仿真实例中,采用离散积分器作为控制对象。两种方法结合使用效果最佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural networks in control systems
A modified backpropagation algorithm with a linear output function is discussed from the viewpoint of its convenience in control tasks. Two methods are presented for teaching neural networks to act as an inverse plant. In the simulation example a discrete integrator was used as the plant. The best results were obtained by a combination of both methods.<>
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