About the lecture "Optimization Based-Control Design for Reliable Microgrid Energy Management ":

This work presents an extension of a MPC (Model Predictive Control) approach for microgrid energy management which takes into account electricity costs, power consumption, generation profiles, power and energy constraints as well as uncertainty due to variations in the environment. The approach is based on a coherent framework of control tools, like mixed-integer programming and soft constrained MPC, for describing the microgrid components dynamics and the overall system control architecture. Fault tolerant strategies are inserted in order to ensure the proper amount of energy in the storage devices such that (together with the utility grid) the essential consumer demand is always covered. Simulation results on a particular microgrid architecture validate the proposed approach.

About the lecture "Flatness-based nonlinear control strategies for trajectory tracking of quadcopter systems ":

This work addresses the intensively studied trajectory tracking problem for a quadcopter system.

It provides a full flat parametrization of the inputs and states. Way-point constraints are taken into account and enforced through B-spline characterizations of the flat output. Several control strategies based on computed torque control and feedback linearization are presented and compared.

The advantages of flatness within each control strategy are analyzed and detailed through extensive simulation results.

Short Bio:

Ionela Prodan received the B.E. degree from the University ''Politehnica'' of Bucharest, Romania in 2009.

She continued her studies with a PhD in Control Engineering (2009-2012) at Supélec, Gif-sur-Yvette, France and a one year and half (2013-2014) postdoctoral fellowship within the Chair on Systems Science and the Energetic Challenge - EDF, École Centrale Paris, France. She is currently an Associate Professor at INP Grenoble, LCIS (Laboratory of Conception and Integration of Systems) in France. Her research interests are multi-disciplinary with a core expertise in control and applied mathematics. They are encompassing constrained optimization-based control (via distributed and decentralized approaches), mixed-integer programming, set-theoretic methods and their application to energy systems and multi-agent dynamical systems in general. Further details about her research and publications can be found at https://sites.google.com/site/iprodanionela/.