91 citations · 164 across the 7 of their papers we have counts for
6 papers · 1 filter
Dynamic Reduced-Order Data Assimilation from Sparse Velocity Measurements
Mauricio Portilla, Felipe Galarce, Ernesto Castillo +1
We present a novel reduced-order data assimilation framework, termed Reduced-Order Dynamical Assimilation (RODAS), for reconstructing high-resolution, time-resolved flow fields fro…
Data-driven linear analysis of turbulent flows
Benjamin Herrmann, Katherine Cao, Carlos A. Gonzalez +2
Mean-flow-based linear analyses of turbulent flows, such as resolvent analysis, provide valuable insight about flow structures and their dynamics that has been widely leveraged to…
From resolvent to Gramians: extracting forcing and response modes for control
Benjamin Herrmann, Peter J. Baddoo, Scott T. M. Dawson +3
During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow contro…
Kernel Learning for Robust Dynamic Mode Decomposition: Linear and Nonlinear Disambiguation Optimization (LANDO)
Peter J. Baddoo, Benjamin Herrmann, Beverley J. McKeon +1
Research in modern data-driven dynamical systems is typically focused on the three key challenges of high dimensionality, unknown dynamics, and nonlinearity. The dynamic mode decom…
Data-driven resolvent analysis
Benjamin Herrmann, Peter J. Baddoo, Richard Semaan +2
Resolvent analysis identifies the most responsive forcings and most receptive states of a dynamical system, in an input--output sense, based on its governing equations. Interest in…
Modeling synchronization in forced turbulent oscillator flows
Benjamin Herrmann, Philipp Oswald, Richard Semaan +1
Periodically forced, oscillatory fluid flows have been the focus of intense research for decades due to their richness as a nonlinear dynamical system and their relevance to applic…