Picture of Alexandre Capone

M.Sc. Alexandre Capone

Technical University of Munich

Munich School of Engineering (MSE)

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.

Contact

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

2020

  • 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 mehr… BibTeX
  • A. Lederer; A. Capone; T. Beckers; J. Umlauft; S. Hirche: The Value of Data in Learning-Based Control for Training Subset Selection. 2020 mehr… 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 mehr… BibTeX
  • A. Capone; G. Noske; J. Umlauft; T. Beckers; A. Lederer; S. Hirche: Localized Active Learning of Gaussian Process State Space Models. 2020 mehr… BibTeX
  • A. Lederer; A. Capone; S. Hirche: Parameter Optimization for Learning-based Control of Control-Affine Systems. Learning for Dynamics & Control, 2020 mehr… BibTeX
  • A. Lederer; A. Capone; J. Umlauft; S. Hirche: How Training Data Impacts Performance in Learning-based Control. IEEE Control Systems Letters, 2020, 1-1 mehr… 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 mehr… BibTeX

2019

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