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2019
The chapter presents original research results in the area of nonlinear iterative-learning control. We propose a novel ILC scheme developed using neural networks. The following two cases are described: dynamic and static learning controllers and in both cases the controller is designed in such a way as to minimize the tracking error.
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The chapter presents original research results in the area of nonlinear iterative-learning control. We propose a novel ILC scheme developed using neural networks. The following two cases are described: dynamic and static learning controllers and in both cases the controller is designed in such a way as to minimize the tracking error.
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A survey of iterative learning control
IEEE Control Systems, 2006D. Bristow, Marina Tharayil, A. Alleyne
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Iterative learning control and repetitive control
International Journal of Control, 2011Chris T. Freeman, Ying Tan 0001
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, 2001 Iterative Learning Control for a Hydraulic Cushion
2019An Iterative Learning Control algorithm is presented for the force control circuit of a hydraulic cushion, which improves the existing control scheme based on classical PI control and feedback linearization. The circuit contains a proportional valve for regulating the pressure at the cylinder chamber and, therefore, the force applied by the cushion ...
Ignacio Trojaola +4 more
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A survey on iterative learning control for nonlinear systems
International Journal of Control, 2011Jian-Xin Xu
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Iterative Learning Control: Brief Survey and Categorization
IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 2007Hyo-Sung Ahn +2 more
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