PROGRAM

António Pascoal
Instituto Superior Técnico (PT)

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Marco Lovera
Politecnico di Milano (IT)

Title : Model identification for aerospace systems: methods, tools and results

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Abstract : Accurate model identification is essential for developing robust control strategies for aerospace systems. This talk presents the identification of Linear Time-Invariant (LTI) and Linear Time-Periodic (LTP) models, along with Linear Parameter-Varying (LPV) modeling, for aerospace systems, with a focus on small-scale and full-scale rotorcraft.
We discuss continuous-time subspace identification using Laguerre and Hermite bases, enhanced by Bayesian optimization for hyperparameter tuning and model structuring, and introduce virtual reference predictor-based control for data-driven design.
Experimental results on multirotor systems demonstrate the effectiveness of these techniques for LTI and LTP model identification and data-driven control. A case study on helicopter model identification is also presented, covering the complete process of LTI model identification, as well as LPV modeling.
This presentation underscores strong synergies between education and research and joint work with collaborators from academia and industry.

Reza Moheimani,
University of Dallas (USA)

Title : From Imaging to Lithography: Control-Enabled Advancements in Scanning Tunneling Microscopy

Bio : Reza Moheimani is a Professor and James Von Ehr Distinguished Chair in Science and Technology in the Department of Systems Engineering at the University of Texas at Dallas with affiliate appointments in Electrical and Computer Engineering and Mechanical Engineering Departments. He is the past Editor-in-Chief of Mechatronics, and a past associate editor of IEEE Transactions on Control Systems Technology, IEEE Transactions on Mechatronics and Control Engineering Practice. He received the Industrial Achievement Award (IFAC, 2023), Nyquist Lecture Award (ASME DSCD, 2022), Charles Stark Draper Innovative Practice Award (ASME DSCD, 2020), Nathaniel B. Nichols Medal (IFAC, 2014), IEEE Control Systems Technology Award (IEEE CSS, 2009) and IEEE Transactions on Control Systems Technology Outstanding Paper Award (IEEE CSS, 2007 and 2018). He is a Fellow of IEEE, IFAC, ASME and Institute of Physics (UK). Moheimani received the Ph.D. degree in Electrical Engineering from University of New South Wales, Australia in 1996. His current research interests include applications of control and estimation in high-precision mechatronic systems, high-speed scanning probe microscopy and advanced atomically precise manufacturing.

Abstract : The scanning tunneling microscope (STM), a Nobel Prize-winning invention, has revolutionized surface science with its ability to image and manipulate matter at the atomic scale.  While STM has traditionally been used for topographic imaging and spectroscopy, recent advances have expanded its applications to include atomically precise lithography, crucial for the development of future quantum electronic devices.  Despite these advancements, the fundamental feedback control loop that governs STM operation has remained largely unchanged for the past 40 years.  This presentation delves into the intricate interplay between STM feedback control and surface physics, exploring how innovative modifications to the control system can unlock new modes of imaging, spectroscopy, and lithography. Reimagining the STM’s control system is the key to pushing the boundaries of STM capabilities and opening new frontiers in nanoscale science and engineering.

Valentina Breschi,
LCSL (IT)

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