Please use this identifier to cite or link to this item:
Title: Dual-scale direct learning control of trajectory tracking for a class of nonlinear uncertain systems
Authors: Xu, J.-X. 
Zhu, T.
Issue Date: 1999
Citation: Xu, J.-X., Zhu, T. (1999). Dual-scale direct learning control of trajectory tracking for a class of nonlinear uncertain systems. IEEE Transactions on Automatic Control 44 (10) : 1884-1888. ScholarBank@NUS Repository.
Abstract: In this paper the authors present a new learning control scheme: dual-scale direct learning control for trajectory tracking problems. Direct learning control (DLC) is defined as the direct generation of the desired control input profile from existing control input profiles without any repetitive learning. The DLC schemes developed hitherto are capable of learning the desired control signals for the new trajectory from past tracking control profiles which correspond to trajectories with either nonuniform time scales or nonuniform magnitude scales. Here the authors further show that for a class of nonlinear uncertain dynamic systems, the proposed dual-scale DLC scheme is able to generate the desired control input profile for a new trajectory which differs from all of the previously controlled and stored trajectories in both time and magnitude scales.
Source Title: IEEE Transactions on Automatic Control
ISSN: 00189286
DOI: 10.1109/9.793729
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Oct 12, 2018


checked on Oct 2, 2018

Page view(s)

checked on Sep 29, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.