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20192026
most citedKoopman-based feedback design with stability guarantees

45 citations · 147 across the 71 of their papers we have counts for

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13 papers · 1 filter

eess.SY2026

Optimal energy conversion -- A port-Hamiltonian approach

Guanru Pan, Karl Worthmann, Manuel Schaller +1

This paper studies optimal energy conversion in port-Hamiltonian systems. We analyze state- and control-constrained finite-horizon optimal control problems that maximize energy con…

cs.CV2026

OmniPoser: Flexible Human Motion Recovery in the Wild with Masked Flow Matching

Minghao Liu, Tutian Tang

Recovering 3D human motion from sparse wearable sensors is challenging due to the inherent noise, occlusion, and instability of real-world tracking signals. Existing approaches are…

eess.SY2026

Energy-optimal predictive control of discrete-time port-Hamiltonian systems: Closed-loop practical stability

Vaibhav Kumar Singh, Manuel Schaller, Timm Faulwasser +1

We study a dissipativity-based model predictive control (MPC) scheme for energy-optimal constrained output stabilization of a discrete-time nonlinear SISO port-Hamiltonian system d…

math.DS2026

Extended dynamic mode decomposition with Fourier dictionaries: Error bounds and fast implementation

Felix Bartel, Sandra Ritter, Manuel Schaller +1

The Koopman operator has gained considerable attention in dynamical systems due to its capability to provide a linear viewpoint for nonlinear systems using data-driven methods such…

math.DS2026

Verifiable Regularity Criterion for Conditional Expectation Operators and Conditional Mean Embeddings with Applications to Nonparametric Regression, Bayesian Inverse Problems, and Koopman Operators

Maximiliano Hertel, Ilja Klebanov, Manuel Schaller +1

Conditional expectation operators (CEOs) and their associated conditional mean embeddings (CMEs) play a central role across applied mathematics and machine learning, appearing in n…

math.OC2026

Data-driven feedback rectification of switched linear systems

Philipp Schmitz, Hannes Gernandt, Maria C. Honecker +1

In this paper, a data-driven method for the computation of stabilizing state-feedbacks is proposed that leads to a rectified eigenstructure of switched linear systems. This means t…