The Trustworthy Autonomy for Smart Adaptive Systems (TASAS) group focuses on fundamental questions pertaining modelling, analysis, and control of uncertain linear and nonlinear dynamical systems. We pursue research on both model- and data-based approaches, convinced that integrating these two viewpoints and leveraging the respective strengths is key to design controllers for complex systems and tasks while providing theoretical guarantees and reducing conservatism.
We study basic research questions lying at the intersection of control theory, optimization and learning. Topics of strong interest include: robust and adaptive control; optimal control; system identification; uncertainty quantification; and optimization algorithms.
The overarching goal of our research is to foster trustworthy autonomy by contributing progress on the design of intelligent autonomous systems for a sustainable society, especially in the fields of energy and transportation systems and industry 4.0.
More information can be found on the pages linked below and associated with three macro-topics describing our research.
Current group members: Bowen Song, Nicolas Chatzikiriakos, Fabian Jakob, Massimiliano Manenti
All developed methods and generated data are publicly available on our GitHub repository.
Andrea Iannelli
Prof. Dr.Tenure-Track Juniorprofessor