3 papers
cs.LG2026
Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations
Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
This work presents structure-preserving Lift & Learn, a scientific machine learning method that employs lifting variable transformations to learn structure-preserving reduced-order…
cs.RO2025
Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction
Iman Adibnazari, Harsh Sharma, Myungsun Park +3
Soft robots have shown immense promise in settings where they can leverage dynamic control of their entire bodies. However, effective dynamic shape control requires a controller th…
math.NA2025
Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy
Harsh Sharma, Juan Diego Draxl Giannoni, Boris Kramer
Existing model reduction techniques for high-dimensional models of conservative partial differential equations (PDEs) encounter computational bottlenecks when dealing with systems…