摘要
提出了一种二阶神经网络的自适应控制方案，利用二阶神经网络对被控对象进行在线辨识和 控制．仿真实验表明：这种控制系统，其控制效果优良，具有较强的辨识和控制能力，且控制器设计并 不复杂．
In this paper an improved plan about second-order neural network adaptive control is presented. An approach using second-order neural networks for on-line process identification and control is also presented. Simulating experiments show that the control system has good control result and stronger capability of identification and control. And it is very simple in design of controller.
出处
《沈阳工业大学学报》
CAS
2000年第2期134-137,共4页
Journal of Shenyang University of Technology
关键词
二阶神经网络
非线性系统
自适应控制
second-order neural network, nonlinear System
adaptive control
