Opti mal higher order learning adaptive control approach for a class of SISO nonlinear systems

被引：0
|
作者：
Ronghu CHI~1
2.School of Electronics and Information Engineering
机构：
来源：
JournalofControlTheoryandApplications | 2005年 / 03期
基金：
中国国家自然科学基金;
关键词：
Optimization; Higher order; Learning adaptive control; Model_free; Nonlinear system;
D O I：
暂无
中图分类号：
F224 [经济数学方法];
学科分类号：
0701 ; 070104 ;
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.
引用
收藏
页码：247 / 251
页数：5
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