Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71613
Title: Repetitive learning control: Existence of solution, convergence and robustification
Authors: Xu, J.-X. 
Yan, R.
Chen, Y.
Issue Date: 2006
Source: Xu, J.-X.,Yan, R.,Chen, Y. (2006). Repetitive learning control: Existence of solution, convergence and robustification. Proceedings of the American Control Conference 2006 : 958-963. ScholarBank@NUS Repository.
Abstract: In this paper, we propose a repetitive learning control (RLC), which deals with nonlinear dynamical systems with non-parametric uncertainties. We address three fundamental issues associated with the new learning control methods: the existence of the solution, learning convergence property and robustification, which are indispensable for the learning control methods to evolve to a new paradigm. Applying the existence theorem of the differential difference equation of neutral type, and using Lyapunov-Krasovskii functional, the existence of solution and the learning convergence can be proven rigorously. To enhance the robustness of the repetitive learning control, we further develop two kinds of robustification methods with projection and damping respectively to ensure the boundedness of the learning signals. © 2006 IEEE.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/71613
ISBN: 1424402107
ISSN: 07431619
Appears in Collections:Staff Publications

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