output
20042026
most citedOperator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

131 citations

194 papers

math.OC2026

Periodic solutions of nonlinear control systems with switching: a Lie-algebraic and contraction approach

Alexander Zuyev, Peter Benner

This paper is devoted to the analysis of periodic solutions of nonlinear control-affine systems with bang-bang controls. Such problems naturally arise in periodic optimal control w…

math.OC2026

Data-Driven Modeling of a Controlled Orthotropic Plate Using Machine Learning

Yongho Kim, Alexander Zuyev, Francesco Pellicano +1

We study the problem of learning the input-output map of a controlled vibrating plate with a composite structure from experimental measurements. Analytical modeling of this control…

math.OC2026

Implementation of Time-Varying Controllers for a Nonholonomic Mobile Robot: Experimental Studies

Alexander Zuyev, Victoria Grushkovskaya, Sebastian Eisner

We consider a kinematic model of a wheeled mobile robot controlled by translational and angular velocities. For this class of nonholonomic systems, a family of time-varying feedbac…

physics.comp-ph2025

Consistent Projection of Langevin Dynamics: Preserving Thermodynamics and Kinetics in Coarse-Grained Models

Vahid Nateghi, Lara Neureither, Selma Moqvist +3

Coarse graining (CG) is an important task for efficient modeling and simulation of complex multi-scale systems, such as the conformational dynamics of biomolecules. This work prese…

math.NA2025★ 1 cited

Data-driven balanced truncation for linear systems with quadratic outputs

Reetish Padhi, Ion Victor Gosea, Igor Pontes Duff +1

We develop the framework for a non-intrusive, quadrature-based method for approximate balanced truncation (QuadBT) of linear systems with quadratic outputs, thus extending the appl…

cs.CE2025★ 1 cited

Superstructure Optimization with Embedded Neural Networks for Sustainable Aviation Fuel Production

Alexander Klimek, Christoph Plate, Sebastian Sager +2

This study presents a multi-objective optimization framework for sustainable aviation fuel (SAF) production, integrating artificial neural networks (ANNs) within a mixed-integer qu…