摘要
将一种在线变结构径向基函数网络训练算法应用到内模控制中,对如何利用径向基函数网络辨识被控对象内部模型和控制器模型进行了较为深入的分析并给出了具体的迭代学习公式。仿真结果证明了该算法对非线性动态过程是有效的,具有较好的自适应性和鲁棒性。
A online varying-structure training algorithm for RBF network is used on internal model control. It is deeply analyzed that how to realize internal model and internal model controller by RBF network. Furthermore, the final iterative formula for training network is given. The simulation shows that the proposed algorithm is effective to nonlinear dynamic process, and it has excellent properties of adaptability and robustness.
出处
《微计算机信息》
北大核心
2005年第2期52-53,199,共3页
Control & Automation
关键词
RBF网络
内模控制
神经网络
变结构
RBF network
internal model control
neural network
varying-structure
