Dr. Alberto Romero, de Kreisel Electric (Austria)
Tendrá lugar los días 25 y 26 de octubre de 9 a 14 horas en el aula 009,
con posibilidad de seguimiento online por enseñanza virtual en el aula del curso.
Breve CV: Alberto Romero works currently at Kreisel Electric, an Austrian Li-ion battery pack manufacturer for different applications, from automotive to stationary storage systems. As simulation engineer, he focuses R&D tasks, such as thermal design and management, electrochemical modeling, constrained fast charge, or vehicle dynamics simulations. He holds a PhD. in Natural Resources Engineering (Laurentian University, ON, Canada), and a Masters degree in Mechanical Engineering (University of Sevilla, Spain). Over the course of his professional and academic career, he has specialized in modeling, simulation and optimal constrained control of multi-physic systems.
Contenido:
Monday (5h)
09:00-09:30 Introduction
09:30-10:30 Part I: Introduction to the Modelica Language
10:30-11:00 Part II: First example
11:00-11:30 Coffee break
11:30-13:00 Part III: ABC of the language - from classes to the Modelica Standard Library
13:00-14:00 Part IV: Project 1
Tuesday (5h)
09:00-09:15 Recap (15min)
09:15-10:30 Part V: OpenModelica and JModelica Python interfaces
10:30-11:00 Part VI: Second example
11:00-11:30 Coffee break
11:30-12:30 Part VII: Optimal constrained control with JModelica
12:30-13:00 Part VIII: State estimation
13:00-14:00 Part IX: Project 2 (1h)
Material necesario:
One laptop per student if possible
Slides and example files will be made available during the course
Downloads:
1. Modelica Graphical Editor. One of the following:
a) Dymola:
- Navigate to https://discover.3ds.com/free-trial-version-of-dymola-for-windows
- Complete the form to download the trial version (no license required)
b) OMEdit:
- Navigate to https://www.openmodelica.org/download/download-windows
- Download the Official Release 1.18.0 (32/64bit)
2. Python interface to Modelica:
a) JModelica.org (preferred)
- Navigate to https://jmodelica.org/
- Complete the form to access the last public open source version (bottom of the page)
b) OMPython, assuming OMEdit installed and Python:
- Navigate to https://github.com/OpenModelica/OMPython and follow the instructions
- Open the command prompt and:
>> cd %OPENMODELICAHOME%\share\omc\scripts\PythonInterface
>> python -m pip install -U .
c) DymolaInterface, assuming Dymola installed
- Easy setup using Visual Studio
Prof. Daniel Quevedo
Queensland University of Technology (QUT), Australia.
Tendrán lugar los días 5, 14 y 19 de octubre de 9:00 a 10:00 a.m.
en la plataforma de Enseñanza Virtual:
https://eu.bbcollab.com/collab/ui/session/guest/f45bacb94a374ac78f05bf3df4b2e6fc
Breve CV del ponente:
Prof. Quevedo's research interests are in networked control systems, cyberphysical systems security and control of power converters. He currently serves as Associate Editor for IEEE Control Systems and in the Editorial Board of the International Journal of Robust and Nonlinear Control. From 2015 to 2018 he was Chair of the IEEE Control Systems Society Technical Committee on Networks & Communication Systems.
In 2003 he received the IEEE Conference on Decision and Control Best Student Paper Award and was also a finalist in 2002. Prof. Quevedo is co-recipient of the 2018 IEEE Transactions on Automatic Control George S. Axelby Outstanding Paper Award. He is a Fellow of the IEEE.
Horarios y resúmenes de las charlas:
Abstract:
The opportunities provided by feedback control of networked dynamical systems are enormous. Yet it is by no means clear how to harness modern communication, network and computation technologies to obtain high-quality designs. The main stumbling blocks stem from the significant gaps which exist between understanding of constituent parts and the challenges faced when bringing them together. The vast realm of applications of networked cyber-physical systems brings a variety of issues. A common thread is that many of the standard paradigms that allow the separation of computation, communications and systems control are no longer valid. Thus, the need for more holistic approaches arises. This talk illustrates how communication and computation aspects can be integrated into suitable predictive control formulations.
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14 Octubre, 9:00am
"Reinforcement Learning for Networked Estimation and Control”
Abstract:
Cyber–physical systems are systems built through integration of sensors, communication networks, controllers, dynamic (physical) processes and actuators. They are playing an increasingly important role in modern society, in areas such as energy, transportation, manufacturing, and healthcare. The scale of typical CPS such as smart-grids, vehicular traffic networks and smart factories is large. The realisation of these systems faces substantial challenges arising in diverse disciplines, ranging from communications and control to computing
In this talk, we study the scheduling of sensor and actuator data for wireless estimation and control. We focus on setups where, at each time instant, a single agent decides which nodes have access to the network and which ones do not. To address such scheduling problems, we formulate Markov decision processes and solve them using reinforcement learning techniques. The resulting scheduling algorithms can be run online, and are model-free with respect to the wireless channel parameters.
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19 Octubre, 9:00am
"Remote State Estimation with an Eavesdropper”
Abstract:
We study transmission scheduling for remote state estimation in the presence of an eavesdropper. A sensor transmits local state estimates over a packet dropping link to a remote estimator. At the same time, an eavesdropper can successfully overhear each sensor transmission with a certain probability. The objective is to determine at which instances the sensor should transmit, in order to minimize the estimation error covariance at the remote estimator, while trying to keep the eavesdropper error covariance above a certain level. This is done by solving an optimization problem that minimizes a linear combination of the expected estimation error covariance and the negative of the expected eavesdropper error covariance. Structural results on the optimal transmission policy are presented, and shown to exhibit thresholding behaviour in the estimation error covariances. In the infinite horizon situation, it is shown that with unstable systems one can keep the expected estimation error covariance bounded while the expected eavesdropper error covariance becomes unbounded.
Dr. Camilla Colombo y Dr. Pier Luigi de Lizia,
Politécnico de Milán.
Serán los días 7 y 8 de julio de 16:00 a 18:00 en la sala del curso:
https://eu.bbcollab.com/collab/ui/session/guest/f45bacb94a374ac78f05bf3df4b2e6fc
Resumen:
This course will present the main available techniques for modelling the effect of uncertainties and computing their evolution through the system dynamics. Application will be shown within the space field in particular in space situational awareness (including re-entry prediction, computation of collision risk, computation of collision avoidance manoeuvres). The general applicability of the methods presented can stimulate their application to any engineering application affected by uncertainties in initial conditions, model parameters or process noise.
Breves CVs:
Camila Colombo is Associate Professor of Orbital Mechanics at Politecnico di Milano (PoliMi). Previously she was Professor at the University of Southampton (UK) 2012-2016, Postdoc fellow at the University of Strathclyde (UK) 2009-20212 and Research assistant at the university of Glasgow (UK) 2005-2009.
Piuerluigi di Lizia is Assistant professor of Aerospace Mechanics at Politecnico di Milano. Promotion to Senior Assistant Professor and award of academic tenure in December 2018. His research interest are Space Situational Awareness, Space Surveillance and Tracking, Orbit determination, Collision risk assessment, Collision avoidance maneuver design, Spacecraft guidance, navigation, and control for proximity operation, Uncertainty propagation and management and Numerical methods for astrodynamics.
Dr. Francesco Topputo
Politecnico de Milano
29 de junio de 16:00 a 18:00 de forma virtual en la sala del curso:
Prof. Jesús Díaz Verdejo
Universidad de Granada
24 de junio de 17:00 a 20:00 de forma virtual en la sala del curso:
https://eu.bbcollab.com/collab/ui/session/guest/f45bacb94a374ac78f05bf3df4b2e6fc