activity
20192026
most citedAnalysis of amplification mechanisms and cross-frequency interactions in nonlinear flows via the harmonic resolvent

44 citations · 47 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Toward Adaptive Non-Intrusive Reduced-Order Models: Design and Challenges

Amirpasha Hedayat, Alberto Padovan, Karthik Duraisamy

Projection-based Reduced Order Models (ROMs) are often deployed as static surrogates, which limits their practical utility once a system leaves the training manifold. We formalize…

physics.flu-dyn2022

Continuous-time balanced truncation for time-periodic fluid flows using frequential Gramians

Alberto Padovan, Clarence W. Rowley

Reduced-order models for flows that exhibit time-periodic behavior are critical for several tasks, including active control and optimization. One well-known procedure to obtain the…

eess.SY2022★ 3 cited

Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance

Samuel E. Otto, Alberto Padovan, Clarence W. Rowley

Data-driven reduced-order models often fail to make accurate forecasts of high-dimensional nonlinear dynamical systems that are sensitive along coordinates with low-variance becaus…

math.OC2021

Optimizing Oblique Projections for Nonlinear Systems using Trajectories

Samuel E. Otto, Alberto Padovan, Clarence W. Rowley

Reduced-order modeling techniques, including balanced truncation and -optimal model reduction, exploit the structure of linear dynamical systems to produce models th…

physics.flu-dyn2021

A computationally efficient approach for the removal of the phase shift singularity in harmonic resolvent analysis

Alberto Padovan, Clarence W. Rowley

The recently introduced harmonic resolvent framework is concerned with the study of the input-output dynamics of nonlinear flows in the proximity of a known time-periodic orbit. Th…

physics.flu-dyn2019★ 44 cited

Analysis of amplification mechanisms and cross-frequency interactions in nonlinear flows via the harmonic resolvent

Alberto Padovan, Samuel E. Otto, Clarence W. Rowley

We propose a framework that elucidates the input-output characteristics of flows with complex dynamics arising from nonlinear interactions between different time scales. More speci…