Please use this identifier to cite or link to this item:
Title: Comments on "asymptotic state tracking in a class of nonlinear systems via learning-based inversion"
Authors: Xu, J.-X. 
Xu, J. 
Keywords: Asymptotic tracking
Iterative learning control
Steadystate oscillation
System inversion
Issue Date: Apr-2006
Citation: Xu, J.-X., Xu, J. (2006-04). Comments on "asymptotic state tracking in a class of nonlinear systems via learning-based inversion". IEEE Transactions on Automatic Control 51 (4) : 720-. ScholarBank@NUS Repository.
Abstract: In the above paper, a learning approach to asymptotic state tracking for a class of nonlinear systems was proposed. The central idea of the approach is to first establish an equilibrium which is in essence an oscillatory steady-state, then incorporate a learning mechanism to eliminate the discrepancy between the desired and actual control. The paper presented a new analysis tool for the learning control problems, which is quite different from most existing tools developed insofar for learning control analysis. In this note, we would like to address some existing technical problems in the above paper, as well as the potential limitations in implementation. © 2006 IEEE.
Source Title: IEEE Transactions on Automatic Control
ISSN: 00189286
DOI: 10.1109/TAC.2006.872762
Appears in Collections:Staff Publications

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

Page view(s)

checked on Dec 22, 2018

Google ScholarTM



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