BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN X-WR-CALNAME:Ezra Systems Seminar: Thomas Parisini (Imperial College London ) X-WR-TIMEZONE:Eastern Time (US & Canada) BEGIN:VEVENT DTSTAMP:20260714T070718Z UID:tag:localist.com\,2008:EventInstance_50384263793590 DTSTART:20250829T162000Z DTEND:20250829T171000Z DESCRIPTION:Networked Systems Meet Geometric Approaches: Two Use Cases on P rivacy Protection and Distributed UIOs\n\nWe develop a general geometric a pproach to address two important applications in the context of networked systems: i) output allocation for privacy protection\, and ii) design of d istributed unknown-input observers. The fil-rouge of the geometric approac h stems from its inherent independence from coordinates and from the time- domain that can be continuous- and discrete-time without any methodologica l difference. For use-case i)\, we consider the properties of output redun dant systems through the lenses of a geometric approach by formulating an output allocation synthesis problem\, which involves “concealing” inpu t information from a malicious eavesdropper having access to the system ou tput\, while still allowing for a legitimate user to reconstruct it. It is shown that the solvability of this problem requires the availability of a redundant set of outputs. This very problem is instrumental to unveiling the fundamental geometric properties of output-redundant systems\, which f orm the basis for our subsequent constructions and results. As a direct ap plication\, we demonstrate how output allocation can be employed to effect ively protect the information of input information from certain output eav esdroppers with guaranteed results. For use-case ii)\, we design distribut ed state observers exchanging information through a network in dynamic sys tems for which measurements are distributed across nodes and are influence d by unknown inputs via different distribution matrices. Our distributed s tate estimation scheme is made of a network of observers\, each reconstruc ting the entire system state\, despite having access only to local measure ments per se insufficient for full state observation. Existing methods imp ose strict rank conditions on the input and output matrices at each node\, and they are only applicable to continuous-time systems. To overcome this limitation\, we propose a geometric approach for designing distributed un known input observers applicable in both continuous-time and discrete-time domains. By leveraging the properties of the conditioned invariant subspa ce at each node\, we reconstruct parts of the state unaffected by local un known inputs and fuse these estimates through network communication.\n \n\ nBio: Thomas Parisini received the Ph.D. degree in electronic engineering and computer science from the University of Genoa\, Italy\, in 1993. He wa s an associate professor with Politecnico di Milano\, Italy. He currently holds the chair of industrial control and is the head of the Control and P ower Research Group\, Imperial College London. He also holds a Distinguish ed Professorship at Aalborg University\, Denmark. Since 2001\, he has been the Danieli Endowed Chair of automation engineering with the University o f Trieste\, Trieste\, Italy\, where from 2009 to 2012\, he was the Deputy Rector. In 2023\, he held a “Scholar-in-Residence” visiting position w ith Digital Futures-KTH\, Stockholm\, Sweden. He has authored or coauthore d a research monograph in the Communication and Control Series\, Springer Nature\, and more than 400 research papers in archival journals\, book cha pters\, and international conference proceedings.\n\nParisini was the reci pient of the Knighthood of the Order of Merit of the Italian Republic for scientific achievements abroad awarded by the Italian President of the Rep ublic in 2023. In 2018 he received the Honorary Doctorate from the Univers ity of Aalborg\, Denmark and in 2024\, the IEEE CSS Transition to Practice Award. Moreover\, he was awarded the 2007 IEEE Distinguished Member Award and was co-recipient of the IFAC Best Application Paper Prize of the Jour nal of Process Control\, Elsevier\, for the three-year period 2011-2013 an d of the 2004 Outstanding Paper Award of IEEE Transactions on Neural Netwo rks. In 2016\, he was awarded as Principal Investigator with Imperial of t he H2020 European Union flagship Teaming Project KIOS Research and Innovat ion Centre of Excellence led by the University of Cyprus with an overall b udget of over 40 million Euros.\n\nHe was the 2021-2022 President of the I EEE Control Systems Society\, and he was the Editor-in-Chief of IEEE Trans actions on Control Systems Technology (2009-2016). He was the Chair of the IEEE CSS Conference Editorial Board (2013-2019). Also\, he was the associ ate editor of several journals including the IEEE Transactions on Automati c Control and the IEEE Transactions on Neural Networks. He is currently an Editor of Automatica and the Editor-in-Chief of the European Journal of C ontrol. He was the Program Chair of the 2008 IEEE Conference on Decision a nd Control and General Co-Chair of the 2013 IEEE Conference on Decision an d Control. He is a Fellow of IEEE and IFAC. He serves as the Chair of the Awards of the IEEE Control Systems Society and as a Member of IEEE TAB Per iodicals Review and Advisory Committee. GEO:42.443451;-76.481506 LOCATION:Frank H. T. Rhodes Hall\, 253 SUMMARY:Ezra Systems Seminar: Thomas Parisini (Imperial College London) URL;VALUE=URI:https://events.cornell.edu/event/ezra-systems-seminar-thomas- parisini-imperial-college-london CATEGORIES:Seminar END:VEVENT END:VCALENDAR