Jazz in la ricerca della sostenibilità

Dal 27 giugno al 2 luglio si vediamo a Bracciano con fondazione Ampioraggio
Idun Interview
The IDUN project thanks Anne-Lise Aakervik for conducting all interviews and her journalistic contribution creating the portraits.
Credits for photos to photographer: Enrica Quaranta #IDUN
https://accessibility-cv.github.io/
I am an invited speakers @workshop AVA
I will present my activities on: Accessibility and Independent Navigation for People with Visual Impairments
National PhD Program on Autonomous Systems
Autolab with Prof. Laura Giarre’ and Prof. Paolo Falcone is entering the DAuSY: the National PHD Program on Autonomous System, with 24 Italian University, 1 Research Center and 33 Ph.D Positions.
UNIMORE is entering the school with 2 positions for the XXXVIII cycle, both for the curriculum C2: Autonomous for Smart Environments:
- Exploiting Predictive capabilities in motion control for autonomous vehicles operating in crowded environments
- Motion planning, control and coordination of off-road autonomous mining trucks in collaboration with IVECO Defense Vehicle, Bolzano, Italy
If interested please contact Prof.Giarré or Prof. Falcone: laura.giarre@unimore.it; Falcone@unimore.it


Med2021
Report of the conference has been published
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9682617
A New paper:
A new paper on
Optimal Plug-and-Control of Unknown Nonlinear Systems
DanielAdelbergeraLauraGiarrébcToshiyukiOhtsukadLuigi delRea
has been published on the European Journal of Control and is available on line.
https://www.sciencedirect.com/science/article/pii/S0947358021001370?via%3Dihub
ABSTRACT
Modeling and control design are typically subsequent but independent activities. Optimal control is traditionally developed on the basis of explicit models. While this usually yields good results for linear systems, the same is not as true for nonlinear ones, for which explicit solutions can be found only for few cases. In practice, in most cases receding horizon controls based on linear approximations are used. In this paper, we propose a procedure which delivers in one step both a model and an optimal receding horizon control algorithm, without requiring a linearization. Our procedure relies essentially on a system identification by a suitable class of functions which offers universal approximation properties that can be directly incorporated in the control algorithm. Using directional forgetting we show that an adaptive extension can be realized. Measurements and simulations based on a standard automotive control problem are presented to confirm the validity of our proposal.
seminari
Nella giornata di venerdì, nell’abituale orario delle lezioni abbiamo organizzato due seminari (TENUTI NELL’AULA L1.1 di Fisica) sull’impiego delle tecniche di controllo che abbiamo visto insieme, e alcune che potrete vedere in futuro, applicate a casi reali.
I seminari saranno tenuti da un relatore del mondo industriale e da uno del mondo accademico.
Nello specifico le 3 ore saranno organizzate così:
ore 10:00-11:30 Ing. Gabriele Morandi: “Plant modeling of driveline components: how and why to develop a plant model in Simulink”
VIDEO
ore 11:30-11:45 Pausa
ore 11:45-13:00 Prof. Paolo Falcone: “Model Predictive Control for Automotive Applications”
VIDEO
Contiamo di vedervi numerosi in aula ed eventualmente collegati via teams (https://teams.microsoft.com/l/meetup-join/19%3aCwDjb_KtVEQFNQHfMkxZ1rjwwr9lR4WIRiNZFjPryqc1%40thread.tacv2/1639485535901?context=%7b%22Tid%22%3a%22e787b025-3fc6-4802-874a-9c988768f892%22%2c%22Oid%22%3a%229007c8c9-52a3-4294-beab-f33ad3305c77%22%7d).
Saluti,
Luigi Biagiotti e Laura Giarrè
A call for papersOn mdpi ; topic is assistive technology
Article: making an opportunity out of a crisis
here an interesting article on Robotics and Covid