摘要
建立了一种辩识非线性电液伺服控制系统数学模型的辩识方法,研究了多层前向神经网络辩识非线性系统的辩识算法和结构,利用辩识实验获得的过程输入/输出数据动态调整神经网络权值。仿真结果辨明:神经网络描述的电液伺服控制系统数学模型具有较高精度,算法全局逼近能力良好。
The method of identifying was built to identify mathematical model of nonlinear electro-hydraulic servo control system. The algorithm and structure of identifying was researched based on multi-layers forward neural networks. The weights of neural networks were dynamic adjusted by input/output data of process, which were acquired by experiments of identifying. The results of simulation show that mathematical model of neural networks of electro-hydraulic servo control system has better precision and the algorithm has ability to approximate error of global.
出处
《安徽工业大学学报（自然科学版）》
CAS
2005年第2期162-165,共4页
Journal of Anhui University of Technology（Natural Science）
关键词
系统辩识
电液伺服系统
神经网络
system identification
electro-hydraulic servo system
neural networks
