Print Email Facebook Twitter Gaussian process repetitive control Title Gaussian process repetitive control: beyond periodic internal models through kernels Author Mooren, N. Witvoet, G. Oomen, T. Publication year 2022 Abstract Repetitive control enables the exact compensation of periodic disturbances if the internal model is appropriately selected. The aim of this paper is to develop a novel synthesis technique for repetitive control (RC) based on a new more general internal model. By employing a Gaussian process internal model, asymptotic rejection is obtained for a wide range of disturbances through an appropriate selection of a kernel. The implementation is a simple linear time-invariant (LTI) filter that is automatically synthesized through this kernel. The result is a user-friendly design approach based on a limited number of intuitive design variables, such as smoothness and periodicity. The approach naturally extends to reject multi-period and non-periodic disturbances, exiting approaches are recovered as special cases, and a case study shows that it outperforms traditional RC in both convergence speed and steady-state error. Subject Disturbance rejectionGaussian processesInternal model controlRepetitive controlHigh Tech Systems & MaterialsIndustrial Innovation To reference this document use: http://resolver.tudelft.nl/uuid:3a88ad2a-1e9e-4cc8-9221-d1d390dcac2f DOI https://doi.org/10.1016/j.automatica.2022.110273 TNO identifier 967453 Publisher Elsevier, Amsterdam ISSN 0005-1098 Source Automatica, 140 (140) Document type article Files To receive the publication files, please send an e-mail request to TNO Library.