Abstract
In this article, through combining boundary control, adaptive technique with iterative learning control, a control strategy is developed for improving the tracing accurate and achieving the vibration suppression for the Euler-Bernoulli beam system. The dynamics of Euler-Bernoulli beam system can be written as partial-ordinary differential equations. With designed adaptive iterative learning control strategy, the unexpected spillover problem is suppressed and the learning convergence of iterative learning control is also mathematically achieved. Finally, the validity is illustrated by numerical simulation results.
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Acknowledgments
This work was supported in part by the Science and Technology Planning Project of Guangdong Province (2016B090912003, 2016A010106007, 2016B090927010, 2016B010126001, 2015B010101003, 2015B010919003), and by the Fundamental Research Funds for the Central Universities of SCUT (2017ZD058).
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Liu, Y., Deng, X., Guo, F., He, W. (2017). Boundary Iterative Learning Control of an Euler-Bernoulli Beam System. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10639. Springer, Cham. https://doi.org/10.1007/978-3-319-70136-3_26
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DOI: https://doi.org/10.1007/978-3-319-70136-3_26
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