How can DMD-based reduced-order models be used for control design?

Jul 25, 2016 ... The DMD converts a dynamical system into a superposition of modes whose dynamics are governed by eigenvalues. Jan 27, 2022 ... an equation-free, data-driven method for identifying coherent flow structures and their associated spatiotemporal dynamics — to estimate future ... Mar 19, 2019 ... Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, ... Title, 24. DGLR STAB-Symposium. Duration, 13 - 14 November 2024. Degree of recognition, National event. Location, OTH Regensburg. City, Regensburg. Spectral decomposition of the Koopman operator is attracting attention as a tool for the analysis of nonlinear dynamical systems. Dynamic mode decomposition. Aug 20, 2019 ... Dynamic Mode Decomposition [DMD] - Wrapper ... Wrapper function to perform DMD in N-Dimensional data sets. Reshapes data back and forth to ... ... dynamic mode decomposition (DMD). The DMD spectrum and DMD modes are retrieved from the propagation of the relevant states along the topological boundary ... Jan 10, 2023 ... The Dynamic Mode Decomposition has proved to be a very efficient technique to study dynamic data. This is entirely a data-driven approach that ... Nov 13, 2019 ... Semantic Scholar extracted view of "Dynamic mode decomposition based analysis of flow over a sinusoidally pitching airfoil" by Karthik Menon ... Jun 10, 2024 ... In summary, we have introduced a data-driven approach based on DMD to accelerate first-principles calculations of nonequilibrium electron ...