Please use this identifier to cite or link to this item: https://doi.org/10.1109/TAC.2002.804460
Title: A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties
Authors: Xu, J.-X. 
Tan, Y.
Keywords: Composite energy function (CEF)
Iterative learning control (ILC)
Time-varying parametric uncertainties
Issue Date: Nov-2002
Citation: Xu, J.-X., Tan, Y. (2002-11). A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties. IEEE Transactions on Automatic Control 47 (11) : 1940-1945. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2002.804460
Abstract: A new learning control approach is developed in this note to address a class of nonlinear systems with time-varying parametric uncertainties. The concept of composite energy function (CEF), which provides the system information along both time and learning repetition horizons, is introduced in the analysis of learning control. CEF consists of two parts. The first part is a standard Lyapunov function, which is used to access system behavior along time horizon during each learning cycle. The second part is an L2 norm of parametric learning errors which reflects the variation of the system status when the control system is updated on the basis of learning cycles. The proposed learning control algorithm achieves asymptotical convergence along a learning repetition horizon. At the same time, the boundedness and pointwise convergence of the tracking error along time horizon is guaranteed. The proposed learning control strategy is applicable to quite general classes of nonlinear systems without requiring the global Lipschitz continuity condition and zero relative degree condition.
Source Title: IEEE Transactions on Automatic Control
URI: http://scholarbank.nus.edu.sg/handle/10635/81852
ISSN: 00189286
DOI: 10.1109/TAC.2002.804460
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

137
checked on Jun 16, 2018

WEB OF SCIENCETM
Citations

93
checked on May 30, 2018

Page view(s)

36
checked on May 11, 2018

Google ScholarTM

Check

Altmetric


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