3 papers
eess.SY2026
Data-driven discovery and control of multistable nonlinear systems and hysteresis via structured Neural ODEs
Ike Griss Salas, Ethan King
Many engineered physical processes exhibit nonlinear but asymptotically stable dynamics that converge to a finite set of equilibria determined by control inputs. Identifying such s…
stat.ME2026
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
Alexander W. Hsu, Ike Griss Salas, Jacob M. Stevens-Haas +3
We develop an all-at-once modeling framework for learning systems of ordinary differential equations (ODE) from scarce, partial, and noisy observations of the states. The proposed…
physics.flu-dyn2025
Coarse graining and reduced order models for plume ejection dynamics
Ike Griss Salas, Megan R. Ebers, Jake Stevens-Haas +1
Monitoring the atmospheric dispersion of pollutants is increasingly critical for environmental impact assessments. High-fidelity computational models are often employed to simulate…