Paper Info
Title
Adaptive Iterative Learning Control of Non-uniform Trajectory Tracking for Strict Feedback Nonlinear Time-varying Systems
Abstract
In this paper, an iterative learning control strategy is presented for a class of nonlinear time-varying systems, the time-varying parameters are expanded into Fourier series with bounded remainder term. The backstepping design technique is used to deal with system dynamics with non-global Lipschitz nonlinearities and the approach proposed in this paper solves the non-uniform trajectory tracking problem. Based on the Lyapunov-like synthesis, the proposed method shows that all signals in the closed-loop system remain bounded over a pre-specified time interval [0, T]. And perfect non-uniform trajectory tracking of the system output is completed. A typical series is introduced in order to deal with the unknown bound of remainder term. Finally, a simulation example shows the feasibility and effectiveness of the approach.
Year
DOI
Venue
2014
10.1007/s11633-014-0819-0
International Journal of Automation and Computing
Keywords
DocType
Volume
backstepping,fourier series expansion,iterative learning control,lyapunov-like,non-uniform trajectory tracking,time-varying systems
Journal
11
Issue
ISSN
Citations 
6
1751-8520
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Chunli Zhang170.85
Jun-Min LI239036.09