Data-Driven Model Predictive Control using Interpolated Koopman Generators

16 Mar 2020 Peitz Sebastian Otto Samuel E. Rowley Clarence W.

In recent years, the success of the Koopman operator in dynamical systems analysis has also fueled the development of Koopman operator-based control frameworks. In order to preserve the relatively low data requirements for an approximation via Dynamic Mode Decomposition, a quantization approach was recently proposed in [Peitz \& Klus, Automatica 106, 2019]... (read more)

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Categories


  • OPTIMIZATION AND CONTROL
  • DYNAMICAL SYSTEMS