A Robust Iterative Learning Control for Continuous-Time Nonlinear Systems With Disturbances
In this paper, we study the trajectory tracking problem using iterative learning control for continuous-time nonlinear systems with a generic fixed relative degree in the presence of disturbances. This class of controllers iteratively refine the control input relying on the tracking error of the pre...
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Autores principales: | Michele Pierallini, Franco Angelini, Riccardo Mengacci, Alessandro Palleschi, Antonio Bicchi, Manolo Garabini |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/e2ce5f216307443abad9784bfb10d09e |
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