Optimal higher order learning adaptive control approach for a class of SISO nonlinear systems
Ronghu CHI
Zhongsheng HOU
摘要：In this paper,an optimal higher order learning adaptive control approach is developed for a class of SISO nonlinear systems.This design is model-free and depends directly on pseudo-partial-derivatives derived on-line from the input and output information of the system.A novel weighted one-step-ahead control criterion function is proposed for the control law.The convergence analysis shows that the proposed control law can guarantee the convergence under the assumption that the desired output is a set point.Simulation examples are provided for nonlinear systems to illustrate the better performance of the higher order learning adaptive control.
机标关键词：
分类号：TP2(自动化技术及设备)
资助基金：中国科学院项目（非规范项目）(60474038)
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( 247-251 )
英文信息