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SUMMARY:ICALEPCS 2025 Advanced Control Workshop
DTSTART:20250921T183000Z
DTEND:20250921T230000Z
DTSTAMP:20260611T034500Z
UID:indico-event-6@indico.cnpem.br
CONTACT:daniel.tavares@lnls.br
DESCRIPTION:Speakers: Daniel Tavares (CNPEM)\n\n\nThe ICALEPCS 2025 Adva
 nced Control Workshop gathered experts and beginners interested in sharing
  experiences and ideas on the application of control theory to real world 
 feedback and feedforward systems\, focusing on the optimization and stabil
 ization of control loops (at design time or real time)\, applied system id
 entification techniques\, design of control architectures\, autonomous dec
 ision systems\, digital signal processing and hardware platforms where adv
 anced control algorithms are implemented.\nThe talks recordings are now 
 available at the ICALEPCS YouTube Channel.\nThe talks slides can be found 
 in the Timetable page.\nFeedback control systems are ubiquitous in large e
 xperimental physics facilities\, from simple Proportional-Integral loops t
 o layered control loops with multiple inputs and outputs\, different sampl
 ing rates\, high-order controllers\, non-linear or time-varying plant resp
 onses\, for which optimized performance is achieved based on system dynami
 cs modeling. Many of such systems can operate fairly well with low tuning 
 efforts\, however a few others can largely benefit from a thorough system 
 optimization rooted in control theory to provide relevant performance and 
 robustness gains for the entire scientific facility.\nIn the ICALEPCS comm
 unity\, closed orbit or trajectory feedback systems\, multibunch feedback 
 systems\, LLRF\, fast power supplies\, high performance timing systems\, n
 anopositioning and other high dynamic mechatronic systems\, plasma control
 \, adaptive optics and radio telescope antenna control are the kind of sys
 tems typically requiring such advanced control techniques\, but the list o
 f applications may go far beyond due to the universality of the control te
 chniques. System modeling\, system identification\, plant optimization\, c
 ontroller tuning\, loop shaping\,  robust control\, adaptive control\, no
 nlinear control\, Model Predictive Control (MPC) and Iterative Learning Co
 ntrol (ILC) are only a few examples of such techniques.\n \n\nhttps://ind
 ico.cnpem.br/event/6/
IMAGE;VALUE=URI:https://indico.cnpem.br/event/6/logo-3889822395.png
LOCATION:Palmer House Hilton Chicago
URL:https://indico.cnpem.br/event/6/
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