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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Shanghai
BEGIN:STANDARD
DTSTART:19910915T010000
TZOFFSETFROM:+0900
TZOFFSETTO:+0800
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP:20261001T025636Z
UID:3A2F17D2-6115-4D09-9195-3C657B06938D
DTSTART;TZID=Asia/Shanghai:20261012T160000
DTEND;TZID=Asia/Shanghai:20261012T170000
DESCRIPTION:The development of AI-enables cyber-physical systems with multi
 ple sensor/actuator components and feedback loops has given rise to advanc
 ed automation applications\, including energy and power\, intelligent tran
 sportation\, water systems\, manufacturing\, etc. Traditionally\, feedback
  control has focused on enhancing the tracking and robustness performance 
 of the closed-loop system\; however\, as cyber-physical systems become mor
 e complex and interconnected and more interdependent\, there is a need to 
 refocus our attention not only on performance but also on the resilience o
 f cyber-physical systems. The goal of this presentation is to provide insi
 ght into the design and analysis of intelligent monitoring methods for AI-
 enables cyber-physical systems\, which will ultimately lead to more resili
 ent societies.\n\nSpeaker(s): Marios M. Polycarpou\n\nRoom: 418室\, Bldg:
  工二\, 大学城广东工业大学\, Guangzhou\, Guangdong\, China
LOCATION:Room: 418室\, Bldg: 工二\, 大学城广东工业大学\, Guangz
 hou\, Guangdong\, China
ORGANIZER:cschenwn@scut.edu.cn
SEQUENCE:26
SUMMARY:Designing Feedback Systems for Rare but Devastating Events
URL;VALUE=URI:https://events.vtools.ieee.org/m/581238
X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-top: 6.0pt
 \; mso-layout-grid-align: none\; text-autospace: none\;"><span lang="EN-US
 " style="font-family: 'Calibri'\,sans-serif\; mso-fareast-font-family: Bat
 ang\; mso-fareast-language: KO\;">The development of AI-enables cyber-phys
 ical systems with multiple sensor/actuator components and feedback loops h
 as given rise to advanced automation applications\, including energy and p
 ower\, intelligent transportation\, water systems\, manufacturing\, etc. T
 raditionally\, feedback control has focused on enhancing the tracking and 
 robustness performance of the closed-loop system\; however\, as cyber-phys
 ical systems become more complex and interconnected and more interdependen
 t\, there is a need to refocus our attention not only on performance but a
 lso on the resilience of cyber-physical systems. </span><span lang="EN-US"
  style="font-family: 'Calibri'\,sans-serif\;">T</span><span lang="EN-US" s
 tyle="font-family: 'Calibri'\,sans-serif\; mso-fareast-font-family: Batang
 \; mso-fareast-language: KO\;">he goal of this presentation is to provide 
 insight into the design and analysis of intelligent monitoring methods for
  AI-enables cyber-physical systems\, which will ultimately lead to more re
 silient societies.</span></p>
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