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|Title:||On initial conditions in iterative learning control|
|Authors:||Xu, J.-X. |
Iterative learning control (ILC)
|Citation:||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|
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