BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:Distributed Monitoring and Fault-Tolerant Control: Scalable Tools & Industry 4.0 Perspective DTSTART:20180518T101500 DTEND:20180518T110000 DTSTAMP:20260917T070404Z UID:5f30ab1c48c8ac09558ea98293eea112f6b51b08c1b1ae48601738de CATEGORIES:Conferences - Seminars DESCRIPTION:Thomas Parisini\, Imperial College London & University of Tri este\nAbstract: This lecture deals with a class of systems that are becom ing ubiquitous in the current and future "distributed world" made by count less "nodes"\, which can be cities\, computers\, people\, etc.\, and inter connected by a dense web of transportation\, communication\, or social tie s. The term "network"\, describing such a collection of nodes and links\, nowadays has become commonplace thanks to our extensive reliance on "conne ctions of interdependent systems" in our everyday life\, for building comp lex technical systems\, infrastructures and so on. In an increasingly "sma rter" planet\, it is expected that such interconnected systems will be saf e\, reliable\, available 24/7\, and of low-cost maintenance – the Indust ry 4.0 vision. Therefore\, health monitoring\, fault diagnosis and fault-t olerant control are of customary importance to ensure high levels of safet y\, performance\, reliability\, dependability\, and availability. In the l ecture\, the process industry I considered as a paradigmatic context in wh ich\, faults and malfunctions can result in off-specification production\, increased operating costs\, production line shutdown\, danger conditions for humans\, detrimental environmental impact\, and so on. Faults and malf unctions need to be detected promptly and their source and severity should be diagnosed so that corrective actions can be taken as soon as possible. Once a fault is detected\, the faulty subsystem can be unplugged to avoid the propagation of the fault in the interconnected large-scale system. An alogously\, once the issue has been solved\, the disconnected subsystem ca n be re-plugged-in.\n\nIn the talk\, an adaptive approximation-based distr ibuted fault diagnosis approach for large-scale nonlinear systems will be dealt with\, by exploiting a "divide et impera" approach in which the over all diagnosis problem is decomposed into smaller sub-problems\, which can be solved within “local” computation architectures. The distributed de tection\, isolation and identification task is broken down and assigned to a network of "Local Diagnostic Units"\, each having a "local view" of the system.\n\n Moreover\, the lecture will address the integration of a dis tributed model predictive control scheme and a distributed fault diagnosis architecture. Specifically\, in the off-line control design phase we adop t a decentralized algorithm and we assume that the design of a local contr oller can use information at most from parents of the corresponding subsys tem\, i.e.\, subsystems that influence its dynamics. This implies that the whole model of the large-scale system is never used in any step of the de sign process. This approach has several advantages in terms of scalability : i) the communication flow at the design phase has the same topology of t he coupling graph - usually sparse - ii) the local design of controllers a nd fault detectors can be conducted independently\; iii) local design comp lexity scales with the number of parent subsystems only\; iv) if a subsyst em joins/leaves an existing network (plug-in/unplugging operation) at most children/parents subsystems have to retune their controllers and fault de tectors. We refer to this kind of decentralized synthesis as plug & play d esign\, if - in addition - the plug-in and unplugging operations can be pe rformed through a procedure for automatically assessing whether the operat ion does not spoil stability and constraint satisfaction for the overall l arge-scale system.\n \nIn the lecture\, the connection is finally worked out with Virtual Commissioning which is the very recent trend in the proce ss industry to make the dream of plug & work installation of a reliable an d efficient automation system become a reality.\n\nBio: Thomas Parisini r eceived the Ph.D. degree in Electronic Engineering and Computer Science in 1993 from the University of Genoa. He was with Politecnico di Milano and since 2010 he holds the Chair of Industrial Control and is Director of Res earch at Imperial College London. He is a Deputy Director of the KIOS Rese arch and Innovation Centre of Excellence\, University of Cyprus. Since 200 1 he is also Danieli Endowed Chair of Automation Engineering with Universi ty of Trieste. In 2009-2012 he was Deputy Rector of University of Trieste. He authored or co-authored more than 300 research papers in archival jour nals\, book chapters\, and international conference proceedings. His resea rch interests include neural-network approximations for optimal control pr oblems\, fault diagnosis for nonlinear and distributed systems\, nonlinear model predictive control systems and nonlinear estimation. He is a co-rec ipient of the IFAC Best Application Paper Prize of the Journal of Process Control\, Elsevier\, for the three-year period 2011-2013 and of the 2004 O utstanding Paper Award of the IEEE Trans. on Neural Networks. He is also a recipient of the 2007 IEEE Distinguished Member Award. In 2016\, he was a warded as Principal Investigator at Imperial of the H2020 European Union f lagship Teaming Project KIOS Research and Innovation Centre of Excellence led by University of Cyprus with an overall budget of over 40 MEuro. In 20 12\, he was awarded an ABB Research Grant dealing with energy-autonomous s ensor networks for self-monitoring industrial environments. Thomas Parisin i currently serves as Vice-President for Publications Activities of the IE EE Control Systems Society and during 2009-2016 he was the Editor-in-Chief of the IEEE Trans. on Control Systems Technology. Since 2017\, he is Edit or for Control Applications of Automatica and since 2018 he is the Editor in Chief of the European Journal of Control.\nHe is also the Chair of the IFAC Technical Committee on Fault Detection\, Supervision & Safety of Tech nical Processes - SAFEPROCESS.  He was the Chair of the IEEE Control Syst ems Society Conference Editorial Board and a Distinguished Lecturer of the IEEE Control Systems Society. He was an elected member of the Board of Go vernors of the IEEE Control Systems Society and of the European Control As sociation (EUCA) and a member of the board of evaluators of the 7th Framew ork ICT Research Program of the European Union. Thomas Parisini is current ly serving as an Associate Editor of the Int. J. of Control and served as Associate Editor of the IEEE Trans. on Automatic Control\, of the IEEE Tra ns. on Neural Networks\, of Automatica\, and of the Int. J. of Robust and Nonlinear Control.  Among other activities\, he was the Program Chair of the 2008 IEEE Conference on Decision and Control and General Co-Chair of t he 2013 IEEE Conference on Decision and Control. Prof. Parisini is a Fello w of the IEEE and of the IFAC.\n  LOCATION:ME C2 405 https://plan.epfl.ch/?room=MEC2405 STATUS:CONFIRMED END:VEVENT END:VCALENDAR