A New Iterative Learning Control Scheme Based on Damped Newton Method for Nonlinear Systems

Author

Han, Yu ; Yim, Kangbin ; Lai, Xiaochen ; Xu, Guangwei ; Liu, Hui ; Wang, Xilan

Author_Institution

Software Sch., Dalian Univ. of Technol., Dalian, China

fYear

2012

fDate

4-6 July 2012

Firstpage

89

Lastpage

92

Abstract

A new iterative learning control scheme based on damped Newton method for nonlinear systems is proposed. Originated from the Newton method, this new algorithm has advantage of the fast convergence speed. New parameter with clear structure is employed here. Furthermore, sufficient conditions for convergence of this new Newton-type method are given, and the proposed algorithm ensures the tracking error converges to zero and the sequence of the input is convergent with order 2 speed. Finally, the structure of the algorithm is entirely investigated.

Keywords

Newton method; convergence; learning systems; nonlinear control systems; Newton-type method; algorithm structure; convergence speed; damped Newton method; input sequence; iterative learning control; nonlinear system; sufficient condition; tracking error; Algorithm design and analysis; Convergence; Educational institutions; Iterative methods; Machine learning; Newton method; Nonlinear systems; Newton-type method; iterative learning control; nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on

Conference_Location

Palermo

Print_ISBN

978-1-4673-1328-5

Type

conf

DOI

10.1109/IMIS.2012.66

Filename

6296836