Samuel E. Otto

activity

20172026

most citedData-Driven Model Predictive Control using Interpolated Koopman Generators

101 citations · 166 across the 9 of their papers we have counts for

collaborators

Showing 2021Show all

2 papers · 1 filter

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 $H_{2}$ -optimal model reduction, exploit the structure of linear dynamical systems to produce models th…

math.OC2021★ 12 cited

Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems; a New Approach Using Secants

Samuel E. Otto, Clarence W. Rowley

Sensor placement and feature selection are critical steps in engineering, modeling, and data science that share a common mathematical theme: the selected measurements should enable…