activity
20152023
most citedLift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems

270 citations · 947 across the 25 of their papers we have counts for

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Showing math.OCShow all

5 papers · 1 filter

math.OC2023★ 7 cited

Nonlinear Balanced Truncation: Part 2 -- Model Reduction on Manifolds

Boris Kramer, Serkan Gugercin, Jeff Borggaard

Nonlinear balanced truncation is a model order reduction technique that reduces the dimension of nonlinear systems in a manner that accounts for either open- or closed-loop observa…

math.OC2022★ 6 cited

Scalable Computation of Energy Functions for Nonlinear Balanced Truncation

Boris Kramer, Serkan Gugercin, Jeff Borggaard +1

Nonlinear balanced truncation is a model order reduction technique that reduces the dimension of nonlinear systems in a manner that accounts for either open- or closed-loop observa…

math.OC2021★ 25 cited

Certifiable Risk-Based Engineering Design Optimization

Anirban Chaudhuri, Boris Kramer, Matthew Norton +2

Reliable, risk-averse design of complex engineering systems with optimized performance requires dealing with uncertainties. A conventional approach is to add safety margins to a de…

math.OC2020★ 6 cited

Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems

Yizhe Huang, Boris Kramer

We propose a new framework to design controllers for high-dimensional nonlinear systems. The control is designed through the iterative linear quadratic regulator (ILQR), an algorit…

math.OC2020

Stability Domains for Quadratic-Bilinear Reduced-Order Models

Boris Kramer

We propose a computational approach to estimate the stability domain of quadratic-bilinear reduced-order models (ROMs), which are low-dimensional approximations of large-scale dyna…