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arXiv · 2607.26995

Dynamic output-feedback stabilization of uncertain linear dynamics via digital twins

Philipp A. Guth·Karl Kunisch·Sergio S. Rodrigues·Jesper Schröder
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Abstract

This work presents a digital twin framework for output-feedback stabilization and parameter identification in uncertain dynamical systems. A virtual model evolves in parallel with the physical process, assimilating measurement data in real time. By design, the digital twin reconstructs the system state and generates a stabilizing feedback, while model parameters are simultaneously inferred from data of the controlled dynamics using a Bayesian approach. Numerical results for the coupled physical-virtual dynamics demonstrate how digital twins can act jointly as observers, parameter estimators, and control agents, ensuring robust performance under uncertainty.

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Philipp A. Guth, Karl Kunisch, Sergio S. Rodrigues, Jesper Schröder. 2026-07-29. Dynamic output-feedback stabilization of uncertain linear dynamics via digital twins. https://arxiv.org/abs/2607.26995

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