NDLI: AILC for nonlinearly parameterized systems with unknown distributed time-varying delays and unknown control direction

Content Provider	IEEE Xplore Digital Library
Author	Tang Shu Li Jun-Min
Copyright Year	2012
Description	Author affiliation: School of science, Xidian University, Xi'an 710071, China (Tang Shu; Li Jun-Min)
Abstract	This paper addresses a new adaptive iterative learning control (AILC) approach for a class of nonlinear parameterized systems with unknown distributed time-varying delays and unknown control direction. By using the parameter separation technique combined with the signal replacement mechanism, a novel adaptive control strategy is designed to ensure the tracking error converging to zero on a finite time-interval in the mean-square sense. Simultaneously, Nussbaum-type function is used to detect the unknown control direction. The stability of the tracking error is also proven by constructing a Lyapunov-Krasovskii-like composite energy function (CEF). Two simulations example are presented to illustrate the effectiveness of the proposed control algorithms.
Starting Page	2960
Ending Page	2965
File Size	197724
Page Count	6
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Adaptation models AILC Adaptive systems distributed time-varying delays Time varying systems nonlinearly parameterized systems unknown control direction Trajectory Nonlinear systems Delay Convergence
Content Type	Text
Resource Type	Article

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