Picture of Alexandre Capone

M.Sc. Alexandre Capone

Technical University of Munich

Munich Institute of Integrated Materials, Energy and Process Engineering (MEP)

Short Biography

Since October 2017: Research Assistant and PhD candidate at Munich School of Engineering (MSE) and Institute for Information-Oriented Control (ITR), Technical University of Munich

-> Supervisor: Prof. Sandra Hirche, Technical University of Munich

October 2016:  M.Sc. in Mechanical Engineering (cum laude), RWTH Aachen, Germany

-> Thesis title: Design and Optimization of a Three-Phase Reactive Batch Distillation Column as an Underdetermined System of Differential-Algebraic Equations with Optimization Criteria

-> Supervisor: Prof. Alexander Mitsos   

July 2014:  B.Eng. in Mechanical Engineering RWTH Aachen, Germany

-> Thesis title: Modelling and Feedback Control of a 6-Phase Drive System

-> Supervisor: Prof. Dirk Abel, RWTH Aachen

Research Interests

  • Energy Systems Modelling and Optimization
  • Smart Grids
  • Reinforcement Learning
  • Gaussian Processes

Working Field

  • My current research focuses on Gaussian Processes in Control-oriented settings. I am also interested in applying machine learning methods to energy systems.

Current Projects

  • I am currently involved in the MEMAP Project, a collaboration between MSE, ITR and multiple firms with ties to the energy sector. My goal within the project is to apply machine learning to district energy systems.
  • MA: Machine Learning for Energy Systems [PDF].
  • MA: Learning and Control of Nonlinear Systems [PDF].
  • MA: Gaussian Process based MPC for Autonomous Vehicles [PDF].
  • MA: Safety verification for neural networks [PDF]

Please feel free to contact me if any of the topics above interest you for a Bachelor's or Master's thesis, or if you have a topic of your own.


Motivated students are encouraged to contact me via E-mail if interested in doing their Bachelor's or Master's thesis under my supervision. Please include your CV and credentials with your application.

Selected Publications


  • Capone, Alexandre; Jiao, Junjie; Zarei, Mostafa; Zhang, Shiqi; Hirche, Sandra: Robust H∞ Consensus for Homogeneous Multi-agent Systems with Parametric Uncertainties. 2023 American Control Conference (ACC), 2023 more… BibTeX
  • N. Das; J. Umlauft; A. Lederer; A. Capone; T. Beckers; S. Hirche: Deep Learning based Uncertainty Decomposition for Real-time Control. 2023, The 22nd World Congress of the International Federation of Automatic Control, 2023 more… BibTeX


  • A. Capone; A. Lederer; S. Hirche: Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. Proceedings of the 39th International Conference on Machine Learning, 2022 more… BibTeX
  • J. Brüdigam; M. Schuck; A. Capone; S. Sosnowski; S. Hirche: Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. 4th Annual Conference on Learning for Dynamics and Control, 2022 more… BibTeX
  • Jiao, Junjie; Capone, Alexandre; Hirche, Sandra: Backstepping tracking control using Gaussian processes with event-triggered online learning. IEEE Control Systems Letters, 2022, 3176 - 3181 more… BibTeX


  • A. Lederer; A. Capone; T. Beckers; J. Umlauft; S. Hirche: The Impact of Data on the Stability of Learning-Based Control - Extended Version. Learning for Dynamics and Control, 2021 more… BibTeX


  • A. Capone; G.Noske; J. Umlauft; T. Beckers; A. Lederer; S. Hirche: Localized active learning of Gaussian process state space models. Learning for Dynamics & Control, 2020 more… BibTeX
  • A. Capone: C. Helminger: S. Hirche: Day-Ahead Scheduling of Thermal Storage Systems Using Bayesian Neural Networks. IFAC World Congress 2020, 2020 more… BibTeX
  • A. Capone; A. Lederer; J. Umlauft; S. Hirche: Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control Systems Letters 5 (3), 2020, 959-964 more… BibTeX
  • A. Capone; G. Noske; J. Umlauft; T. Beckers; A. Lederer; S. Hirche: Localized Active Learning of Gaussian Process State Space Models. 2020 more… BibTeX
  • A. Lederer; A. Capone; S. Hirche: Parameter Optimization for Learning-based Control of Control-Affine Systems. Learning for Dynamics & Control, 2020 more… BibTeX
  • A. Lederer; A. Capone; J. Umlauft; S. Hirche: How Training Data Impacts Performance in Learning-based Control. IEEE Control Systems Letters 5 (3), 2020, 905-910 more… BibTeX
  • Capone, Alexandre, Hirche, Sandra: Anticipating the Long-Term Effect of Learning in Control. American Control Conference 2020, 2020 more… BibTeX
  • Capone, Alexandre, Lederer, Armin, Hirche, Sandra: Anticipating Learning in Multi-Step Ahead Predictions of Learning-Based Control. IFAC World Congress 2020, 2020 more… BibTeX
  • J. Umlauft; T. Beckers; A. Capone; A. Lederer; S. Hirche: Smart Forgetting for Safe Online Learning with Gaussian Processes. Learning for Dynamics & Control, 2020 more… BibTeX


  • A. Capone; S. Hirche: Backstepping for Partially Unknown Nonlinear Systems Using Gaussian Processes. IEEE Control Systems Letters 3 (2), 2019, 416 - 421 more… BibTeX
  • Capone, A.; Hirche, S.: Interval Observers for a Class of Nonlinear Systems Using Gaussian Process Models. 2019 18th European Control Conference, IEEE, 2019 more… BibTeX