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- W2892100902 abstract "The paper addresses the problem of passivation of a class of nonlinear systems where the dynamics are unknown. For this purpose, we use the highly flexible, data-driven Gaussian process regression for the identification of the unknown dynamics for feed-forward compensation. The closed loop system of the nonlinear system, the Gaussian process model and a feedback control law is guaranteed to be semi-passive with a specific probability. The predicted variance of the Gaussian process regression is used to bound the model error which additionally allows to specify the state space region where the closed-loop system behaves passive. Finally, the theoretical results are illustrated by a simulation." @default.
- W2892100902 created "2018-09-27" @default.
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- W2892100902 date "2018-11-16" @default.
- W2892100902 modified "2023-09-27" @default.
- W2892100902 title "Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics" @default.
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