|Nov 02, 2018, 02:00 p.m.
|Room HFT-TA 617, Einsteinufer 25, 10587 Berlin
|Bringing optimization-based control to IoT-based cyber-physical systems
The increasing complexity of modern cyber-physical systems such as energy networks, transportation systems, smart healthcare systems or smart buildings makes their control and operation a demanding challenge. Using computationally complex decision-making strategies is often not possible due to the limitations of the available embedded hardware or the required fast response times. At the same time, simple operation strategies are not sufficient to guarantee safe and high-performance control of cyber-physical systems due to their complexity, the presence of uncertainty and the amount of information available thanks to the advances in the field of the internet of things.
This talk will explain how leveraging recent advances in robust optimization, stochastic programming and deep learning, advanced decision-making strategies can be performed on low-cost embedded platforms. Potential applications include smart energy systems in smart buildings and advanced operation of power electronics systems.
Sergio Lucia received the M.Sc. degree in electrical engineering from the University of Zaragoza, Zaragoza, Spain, in 2010, and the Dr. Ing. degree in optimization and automatic control from the Technische Universität Dortmund, Germany, in 2014. He joined the Otto-von-Guericke Universität Magdeburg and visited the Massachusetts Institute of Technology as a Postdoctoral Fellow. Since May 2017, he has been an Assistant Professor and heads the Chair of “Internet of Things for Smart Buildings,” at the Technische Universität Berlin, Germany, and at the Einstein Center Digital Future, Berlin. His research interests include decision-making under uncertainty, distributed control, and embedded optimization using microcontrollers and FPGAs in the framework of the Internet of Things. Applications of interests include smart buildings and Li-ion battery systems.