PredicTor: Predictive Congestion Control for the Tor Network. - Felix Fiedler; Christoph Döpmann; Florian Tschorsch; Sergio Lucia (CCTA, 2020)

A Probabilistic Moving Horizon Estimation Framework Applied to the Visual-Inertial Sensor Fusion Problem. - Felix Fiedler; Dirk Baumbach; Anko Börner; Sergio Lucia (ECC, 2020)

A new perspective on data-enabled predictive control. - Felix Fiedler; Sergio Lucia (CoRR, 2020)

On the relationship between data-enabled predictive control and subspace predictive control. - Felix Fiedler; Sergio Lucia (ECC, 2021)

Model predictive control with neural network system model and Bayesian last layer trust regions. - Felix Fiedler; Sergio Lucia (ICCA, 2022)

Deep Learning Implementation of Model Predictive Control for Multioutput Resonant Converters. - Pablo Guillén; Felix Fiedler; Héctor Sarnago; Sergio Lucia; Oscar Lucía (IEEE Access, 2022)

Towards Optimization-Based Predictive Congestion Control for the Tor Network. - Christoph Döpmann; Felix Fiedler; Sergio Lucia; Florian Tschorsch (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022)

Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges. - Christoph Döpmann; Felix Fiedler; Sergio Lucia; Florian Tschorsch (ACM Trans. Internet Techn., 2022)

Probabilistic Multi-Step Identification With Implicit State Estimation for Stochastic MPC. - Felix Fiedler; Sergio Lucia (IEEE Access, 2023)

Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer. - Felix Fiedler; Sergio Lucia (IEEE Access, 2023)