What are the challenges of implementing DMD-based control strategies in real-world flows?

Feb 8, 2025 ... Huang, Qiuxiang, Kou, Jiaqing, Tian, Fang Bao, Young, John, Lai, Joseph C.S., & Ravi, Sridhar (2023) Dynamic mode decomposition for unsteady ... In this paper, we propose subspace DMD as an algorithm for the Koopman analysis of random dynamical systems with observation noise. ... dynamics in extended wind farms. In order to better understand these flow dynamics, we use dynamic mode decomposition (DMD) to analyze and reconstruct the ... Jul 14, 2020 ... Dynamic mode decomposition (DMD) is a purely data-driven and equation-free technique for reduced-order modeling of dynamical systems and fluid flow. Aug 29, 2024 ... We apply here an unsupervised data-driven algorithm, Dynamic Mode Decomposition (DMD), to sEEG recordings from five focal epilepsy patients. Mar 21, 2025 ... Using Dynamic Mode Decomposition with control (DMDc), we analyze surface air temperature patterns from climate simulations to elucidate the ... In this paper, we propose Bayesian DMD, which provides a principled way to transfer the advantages of the Bayesian formulation into DMD. To this end, we first ... Analysis of Proper Orthogonal Decomposition and Dynamic Mode Decomposition on LES of Subsonic Jets. Santosh Tirunagari, Ville Vuorinen, Ossi Kaario, ... May 26, 2022 ... May 26, 2022. DTU Wind and Energy Systems. 27. Identification of large-scale, atmospheric structures using, Dynamic Mode Decomposition. Understanding nonlinear dynamical systems (NLDSs) is challenging in a variety of engineering and scientific fields. Dynamic mode decomposition (DMD), ...