Design and performance analysis of tracking controller for uncertain nonlinear composite system using neural networks
Endong LIU
Yuanwei JING
Siying ZHANG
摘要：Based on high order dynamic neural network,this paper presents the tracking problem for uncertain nonlinear composite system,which contains external disturbance,whose nonlinearities are assumed to be unknown.A smooth controller is designed to guarantee a uniform ultimate boundedness property for the tracking error and all other signals in the closed loop.Certain measures are utilized to test its performance.No a priori knowledge of an upper bound on the "optimal" weight and modeling error is required;the weights of neural networks are updated on-line.Numerical simulations performed on a simple example illustrate and clarify the approach.
机标关键词：
分类号：TP13(自动化基础理论)TL361(核反应堆工程)
资助基金：国家自然科学基金(60274009)高等学校博士学科点专项科研基金(20020145007)
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：7( 110-116 )
英文信息