Please use this identifier to cite or link to this item:
Title: D-type anticipatory iterative learning control for a class of inhomogeneous heat equations
Authors: Huang, D.
Xu, J.-X. 
Li, X.
Xu, C.
Yu, M.
Keywords: Boundary control
Inhomogeneous heat equations
Iterative learning control
Tracking convergence
Issue Date: Aug-2013
Citation: Huang, D., Xu, J.-X., Li, X., Xu, C., Yu, M. (2013-08). D-type anticipatory iterative learning control for a class of inhomogeneous heat equations. Automatica 49 (8) : 2397-2408. ScholarBank@NUS Repository.
Abstract: In this paper, a D-type anticipatory iterative learning control (ILC) scheme is applied to the boundary control of a class of inhomogeneous heat equations, where the heat flux at one side is the control input while the temperature measurement at the other side is the control output. By transforming the inhomogeneous heat equation into its integral form and exploiting the properties of the embedded Jacobi Theta functions, the learning convergence of ILC is guaranteed through rigorous analysis, without any simplification or discretization of the 3D dynamics in the time, space as well as iteration domains. The adopted ILC scheme makes full use of the process repetition and deals with state-independent or statedependent uncertainties. Meanwhile, due to the feedforward characteristic of ILC, the proposed scheme not only makes anticipatory compensation possible to overcome the heat conduction delay in boundary output tracking, but also eliminates the gain margin limitation encountered in feedback control. In the end, an illustrative example is presented to demonstrate the performance of the proposed ILC scheme. © 2013 Elsevier Ltd. All rights reserved.
Source Title: Automatica
ISSN: 00051098
DOI: 10.1016/j.automatica.2013.05.005
Appears in Collections:Staff Publications

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


checked on Sep 22, 2020


checked on Sep 22, 2020

Page view(s)

checked on Sep 27, 2020

Google ScholarTM



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