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DTSTART;TZID=Europe/Rome:20251010T110000
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DTSTAMP:20260430T190602
CREATED:20251002T130158Z
LAST-MODIFIED:20251002T165857Z
UID:9022-1760094000-1760097600@dei.poliba.it
SUMMARY:Resiliency in Multi-Agent Consensus under Adversarial Attacks
DESCRIPTION:Hideaki Ishii (Fellow\, IEEE\, IFAC) received the M.Eng. degree from Kyoto University in 1998\, and the Ph.D. degree from the University of Toronto\, Canada\, in 2002. From 2001 to 2004\, he was a Post-doc with the University of Illinois at Urbana-Champaign\, USA\, and from 2004 to 2007\, a Research Associate with The University of Tokyo\, Japan. From 2007 to 2024\, he was an Associate Professor and Professor with the Dept. of Computer Science\, Tokyo Institute of Technology\, Japan. He is currently a Professor with The University of Tokyo. From 2014 to 2015\, he was a Humboldt Research Fellow with the University of Stuttgart\, Germany. Dr. Ishii has served as an Associate Editor for Automatica\, IEEE Control Systems Letters\, IEEE Transactions on\nAutomatic Control\, IEEE Transactions on Control of Network Systems\, and the Mathematics of Control\, Signals\, and Systems. From 2022 to 2023\, he was a Vice President for IEEE Control Systems Society. From 2017 to 2023\, he was the Chair of the IFAC Coordinating Committee on Systems and Signals. He was the IPC Chair for the IFAC World Congress 2023 held in Yokohama\, Japan. He was the recipient of IEEE Control Systems Magazine Outstanding Paper Award in 2015. \nRegistration required\nRegister using the links below: \n\nIn-person attendance\nOnline attendance
URL:https://dei.poliba.it/event/hideaki-ishii-colloquium-roberto-tempo/
LOCATION:Sala Consiliare – DEI
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://dei.poliba.it/wp-content/uploads/2025/10/Screenshot-From-2025-10-02-09-39-53.png
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DTSTART;TZID=Europe/Rome:20251008T113000
DTEND;TZID=Europe/Rome:20251008T123000
DTSTAMP:20260430T190602
CREATED:20251003T074148Z
LAST-MODIFIED:20251003T074453Z
UID:9036-1759923000-1759926600@dei.poliba.it
SUMMARY:Simple optimization techniques to tune UAVs
DESCRIPTION:Dariusz Horla\nInstitute of Robotics and Machine Intelligence\, Faculty of Control\, Robotics and Electrical Engineering\nPoznan University of Technology \nAbstract\nDuring the seminar\, a novel auto-tuning approach for finding locally-best parameters of controllers on board of unmanned aerial vehicles (UAVs) will be presented. The controller tuning is performed fully autonomously during flight on the basis of predefined ranges of controller parameters. Required controller properties may be simply interpreted by a cost function\, which is involved in the optimization process. For example\, the sum of absolute values of the tracking error samples or performance indices\, including weighed functions of control signal samples\, can be penalized to achieve very precise position control\, if required. The proposed method relies on a zeroorder optimization search technique fitted into bootstrap sequences\, enabling one to obtain a global minimizer for a unimodal cost function. The approach is characterized by an extremely low computational complexity and does not require any UAV dynamics model (just periodical measurements from basic on-board sensors) to obtain proper tuning of a controller. In addition to outlining the complete\, and yet simple\, theoretical background of the method\, an experimental verification in real-world outdoor conditions will provided with relation to multiple experiments\, applications and results. \nThe seminar is mainly suited for researchers\, Ph.D. students\, and M.Sc.-level students. \nBiosketch\nDARIUSZ HORLA\, Member\, IEEE\, received the M.Sc. degree from Poznan University of Technology\, in 2002\, and the Ph.D. degree in 2005\, and D.Sc. degree in 2013 from the same University\, respectively. Since 2020 he is an associate professor of PUT\, and since 2023 a full professor. He was a Visiting Scholar with the University of Madrid\, FCT Nova in Lisbon\, Universidad de Cantabria\, Universita di Catania\, UNINA\, and Czech Technical University in Prague. He is the (co)author of 60+ publications in peer-reviewed conferences\, 30+ publications in impacted journals and 40+ papers in the other journals. He focuses on using control or optimization techniques\, optimal\, adaptive or robust control methods\, developing linear matrix inequality conditions for anti-windup compensation\, and tuning problems. He was a member of UPM-UPO-PUT team in the MBZIRC 2020 robotic competitions (Abu Dhabi) where they scored the third place in the Grand Challenge. He took part in four H2020-cascaded projects with LAAS-CNRS\, EPFL\, Imperial College London and with Twente University.
URL:https://dei.poliba.it/event/simple-optimization-techniques-to-tune-uavs/
LOCATION:Sala Multimediale delle Officine Politecniche\, Via Giovanni Amendola 132\, Bari\, Italy
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://dei.poliba.it/wp-content/uploads/2025/10/Screenshot-From-2025-10-03-09-41-11.png
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