Nonlinear system compound inverse control method
Yan ZHANG
Zengqiang CHEN
Peng YANG
Zhuzhi YUAN
摘要：A compound neural network is utilized to identify the dynamic nonlinear system.This network is composed of two parts: one is a linear neural network,and the other is a recurrent neural network.Based on the inverse theory a compound inverse control method is proposed.The controller has also two parts:a linear controller and a nonlinear neural network controller.The stability condition of the closed-loop neural network-based compound inverse control system is demonstrated based on the Lyapunov theory.Simulation studies have shown that this scheme is simple and has good control accuracy and robustness.
机标关键词：
分类号：O231(控制论、信息论（数学理论）)
资助基金：中国科学院项目（非规范项目）(60374037)河北省自然科学基金(E2004000055)
论文发表日期：2005-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：5( 218-222 )
英文信息