计算机应用研究2011，Vol.28Issue(5)：1783-1785,1788,4.DOI:10.3969/j.issn.1001-3695.2011.05.054
神经网络内模控制在非线性时滞系统中的应用研究
Applied research of neural network internal model control in nonlinear time-delay system
韩超远 1董秀成1
作者信息
- 1. 西华大学,电气信息学院,成都,610039
- 折叠
摘要
Abstract
As to the problem of the time-lag and non-linear in industry, combined an internal model control(IMC) method and neural control principle effectively, it recurred to the identification for controlled object model and controller using an improved RBF center-study neural network adaptively.Based on laboratory electric heating which is a typical first-order lagging object,simulation experiments show that the proposed method has good control characteristic on fast-track input and non-superscalar.The system still has good adaptability and robust stability when system interference or an object parameter changing because of circumstances.关键词
时滞/内模控制/径向基神经网络/竞争学习Key words
time-delay/ IMC/ RBF neural networks/ competitive learning分类
信息技术与安全科学引用本文复制引用
韩超远,董秀成..神经网络内模控制在非线性时滞系统中的应用研究[J].计算机应用研究,2011,28(5):1783-1785,1788,4.
