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- W4315472398 abstract "The paper deals with the problem of adaptive output regulation of nonlinear systems. Building on the design technique recently proposed in [1], we present a new approach where the regulator's internal model is adapted online via Gaussian Processes. Adaptation is performed by following an event-triggered logic and hybrid tools are used to analyse the resulting closed-loop system. Unlike the approach of [1], where the steady-state control policy is supposed to belong to a specific finite-dimensional model set, here we only require smoothness. The paper also presents numerical simulations showing how the proposed method outperforms previous approaches." @default.
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- W4315472398 date "2022-12-06" @default.
- W4315472398 modified "2023-09-28" @default.
- W4315472398 title "Adaptive Nonlinear Regulation via Gaussian Processes" @default.
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- W4315472398 doi "https://doi.org/10.1109/cdc51059.2022.9993066" @default.
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