collaborators

9 papers

eess.SY2026

Analysis of Non-Square Nonlinear MIMO Systems using Scaled Relative Graphs

Julius P. J. Krebbekx, Roland Tóth, Amritam Das

Scaled Relative Graphs (SRGs) provide a novel graphical frequency-domain method for the analysis of nonlinear systems. There have been recent efforts to generalize SRG analysis to…

eess.SY2026

Unifying Sequential Quadratic Programming and Linear-Parameter-Varying Algorithms for Real-Time Model Predictive Control

Kristóf Floch, Amon Lahr, Roland Tóth +1

This paper presents a unified framework that connects sequential quadratic programming (SQP) and the iterative linear-parameter-varying model predictive control (LPV-MPC) technique…

eess.SY2025

Computing the Hard Scaled Relative Graph of LTI Systems

Julius P. J. Krebbekx, Eder Baron-Prada, Roland Tóth +1

Scaled Relative Graphs (SRGs) provide a novel graphical frequency-domain method for the analysis of nonlinear systems, where Linear Time-Invariant (LTI) systems are the fundamental…

eess.SY2025

Direct data-driven interpolation and approximation of linear parameter-varying system trajectories

Chris Verhoek, Ivan Markovsky, Roland Tóth

We consider the problem of estimating missing values in trajectories of linear parameter-varying (LPV) systems. We solve this interpolation problem for the class of shifted-affine…

eess.SY2025

Nonlinear Bandwidth and Bode Diagrams based on Scaled Relative Graphs

Julius P. J. Krebbekx, Roland Tóth, Amritam Das

Scaled Relative Graphs (SRGs) provide a novel graphical frequency-domain method for the analysis of Nonlinear (NL) systems. In this paper, we restrict the SRG to particular input s…

eess.SY2025

On-the-fly Surrogation for Complex Nonlinear Dynamics

E. Javier Olucha, Rajiv Singh, Amritam Das +1

High-fidelity models are essential for accurately capturing nonlinear system dynamics. However, simulation of these models is often computationally too expensive and, due to their…