Tomas M. Pippia


Early Stage Researcher

Delft Center for Systems and Control
Delft University of Technology - -


Tomas M. Pippia received the B.S. in Electronic Engineering in 2013 and the M.S. in Industrial Automation Engineering in 2015, both from the University of Pavia, Italy. In 2015 he was a visiting Master student at Inria Grenoble – Rhône-Alpes where he studied a new vehicular macroscopic traffic model. From 2016 he joined the Delft Center for Systems and Control (DCSC) at TU Delft for a PhD project within the frame of INCITE project. His main research interests include robust multivariable control and energy systems.

My project:

Robust management and control of smart multi-carrier energy systems

Supervisor: Bart De Schutter


A Parametrized Model Predictive Control Approach for Microgrids, T. Pippia, J. Sijs and B. De Schutter, 2018 IEEE Conference on Decision and Control (CDC), FL, USA, 2018, pp. 3171-3176.

Online Partitioning Method for Decentralized Control of LinearSwitching Large-Scale Systems, W. Ananduta, T. Pippia, C. Ocampo-Martinez, J. Sijs, B. De Schutter, Journal of the Franklin Institute, 2019

Scenario-based Model Predictive Control Approach for Heating Systems in an Office Building, T. Pippia, J. Lago, R. De Coninck, J. Sijs, B. De Schutter, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)

A Single-Level Rule-Based Model Predictive Control Approach for Energy Management of Grid-Connected Microgrids, T. Pippia, J. Sijs, B. De Schutter, IEEE Transactions on Control Systems Technology, 2019

Blog entries:

Distributed generation in houses with µCHPs and the role of control for reduced costs

Scenario-based model predictive control for heating systems

Virtual lab:

Control of a multi-area network