Publication

Data-Driven Unknown-Input Observers and State Estimation

Publications associées (29)

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This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...

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Data set for control of Ge island coalescence for the formation of nanowires on silicon

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Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

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Regularization for distributionally robust state estimation and prediction

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The increasing availability of sensing techniques provides a great opportunity for engineers to design state estimation methods, which are optimal for the system under observation and the observed noise patterns. However, these patterns often do not fulfil ...

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