Please use this identifier to cite or link to this item:
|Title:||On initial conditions in iterative learning control|
|Authors:||Xu, J.-X. |
Iterative learning control (ILC)
|Source:||Xu, J.-X., Yan, R. (2005-09). On initial conditions in iterative learning control. IEEE Transactions on Automatic Control 50 (9) : 1349-1354. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2005.854613|
|Abstract:||Initial conditions, or initial resetting conditions, play a fundamental role in all kinds of iterative learning control methods. In this note, we study five different initial conditions, disclose the inherent relationship between each initial condition and corresponding learning convergence (or boundedness) property. The iterative learning control method under consideration is based on Lyapunov theory, which is suitable for plants with time-varying parametric uncertainties and local Lipschitz nonlinearities. © 2005 IEEE.|
|Source Title:||IEEE Transactions on Automatic Control|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 5, 2017
WEB OF SCIENCETM
checked on Nov 13, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.