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|Title:||On initial conditions in iterative learning control||Authors:||Xu, J.-X.
|Issue Date:||2006||Citation:||Xu, J.-X.,Yan, R.,Chen, Y. (2006). On initial conditions in iterative learning control. Proceedings of the American Control Conference 2006 : 220-225. ScholarBank@NUS Repository.||Abstract:||Initial conditions, or initial resetting conditions, play a fundamental role in all kinds of iterative learning control methods. In this work 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. © 2006 IEEE.||Source Title:||Proceedings of the American Control Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/71207||ISBN:||1424402107||ISSN:||07431619|
|Appears in Collections:||Staff Publications|
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