Author

F. Dörfler

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Preprint Sep 2026

Forgetting While Remembering, an Invariant Online Data-Driven Predictive Control Formulation

Low signal-to-noise ratio (SNR) data is a core challenge of online Data-Driven Predictive Control (DPC) for linear, time-varying systems. This paper proposes a Bayesian, online DPC framework based on autoregressive models with exogenous inputs (ARX) that uses an externally-provided prior, which encodes inductive bias s...

Alessandro Chiuso, F. Dörfler, Keith Moffat · 0 citations

Review Aug 2026

Foundations of Reinforcement Learning and Control:Connections and New Perspectives

This tutorial introduces adaptive control, actor-critic reinforcement algorithms, and a new way to combine these two paradigms for data-driven decision making on a classical locomotion control problem.

Claire Vernade, Onno Eberhard, Martha White et al. · 0 citations

Preprint Aug 2026

Fundamental Limitations of Data-Driven Control: A Statistical Decision Perspective

This contribution develops a statistical decision framework for data-driven control, in which a controller is evaluated by its risk, defined as the expected performance degradation relative to the oracle model-based controller, and by its average risk over the parameter space.

Jia-Bao He, Fei-Ran Zhao, Yu-Shan Li et al. · 0 citations