International Journal of Control, Automation and Systems 2019; 17(9): 2203-2210
Published online July 26, 2019
https://doi.org/10.1007/s12555-018-0891-2
© The International Journal of Control, Automation, and Systems
In this paper, the problem of iterative learning control is considered for a class of one-sided Lipschitz nonlinear systems. For such nonlinear systems, open-loop and closed-loop P-type learning algorithms with initial state learning are adopted, respectively. Furthermore, the convergence conditions of the P-type learning algorithms are established. It is shown that both algorithms can guarantee the system output converges to the desired one on the whole time interval. A numerical example is constructed to illustrate the effectiveness of the proposed learning algorithms.
Keywords Iterative learning control, nonlinear systems, one-sided Lipschitz, P-type learning algorithms.
International Journal of Control, Automation and Systems 2019; 17(9): 2203-2210
Published online September 1, 2019 https://doi.org/10.1007/s12555-018-0891-2
Copyright © The International Journal of Control, Automation, and Systems.
Panpan Gu and Senping Tian
South China University of Technology
In this paper, the problem of iterative learning control is considered for a class of one-sided Lipschitz nonlinear systems. For such nonlinear systems, open-loop and closed-loop P-type learning algorithms with initial state learning are adopted, respectively. Furthermore, the convergence conditions of the P-type learning algorithms are established. It is shown that both algorithms can guarantee the system output converges to the desired one on the whole time interval. A numerical example is constructed to illustrate the effectiveness of the proposed learning algorithms.
Keywords: Iterative learning control, nonlinear systems, one-sided Lipschitz, P-type learning algorithms.
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