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PRODID:IEEE vTools.Events//EN
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DTSTART:20210314T030000
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DTSTAMP:20210925T161614Z
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DTSTART;TZID=US/Central:20210909T190000
DTEND;TZID=US/Central:20210909T210000
DESCRIPTION:Connected and Automated Vehicles (CAV) have been heralded as a 
 transformative technology\, leading to the new era of transportation with 
 unprecedented safety and mobility benefits. They also push the energy effi
 ciency of the transportation systems at both the macro (traffic flow) and 
 micro (vehicle) levels to the next height with abundant new opportunities 
 for communication and optimization. We will discuss some fundamental techn
 ical challenges for prediction\, estimation\, and control at the core of t
 he CAV technology in this talk. Using the integrated power and thermal man
 agement for CAV as an example\, we will show how model-based design\, comp
 lemented by data-driven approaches\, can lead to control and optimization 
 solutions with a significant impact on energy efficiency and operational r
 eliability\, in addition to safety and accessibility. Several unique probl
 em characteristics\, such as multi-timescale\, the highly interactive natu
 re of subsystems involved\, and the dynamic and uncertain environment that
  CAVs are operating within will be illuminated\, and open challenges will 
 be highlighted.\n\nSpeaker(s): Dr. Jing Sun\, Ph.D.\, \n\nAgenda: \n7:00 p
 m Meeting starts\n\n7:15 pm Introductions followed by presentation\n\n8:30
  pm Adjorn\n\nRockford\, Illinois\, United States\, 61108\, Virtual: https
 ://events.vtools.ieee.org/m/281232
LOCATION:Rockford\, Illinois\, United States\, 61108\, Virtual: https://eve
 nts.vtools.ieee.org/m/281232
ORGANIZER:d.zinger@ieee.org
SEQUENCE:2
SUMMARY:IEEE RRVS Aug(in sept) Meeting: Prediction\, Estimation\, and Contr
 ol of Connected and Autonomous Vehicles
URL;VALUE=URI:https://events.vtools.ieee.org/m/281232
X-ALT-DESC:Description: <br /><p>Connected and Automated Vehicles (CAV) hav
 e been heralded as a transformative technology\, leading to the new era of
  transportation with unprecedented safety and mobility benefits. They also
  push the energy efficiency of the transportation systems at both the macr
 o (traffic flow) and micro (vehicle) levels to the next height with abunda
 nt new opportunities for communication and optimization.&nbsp\;We will dis
 cuss some fundamental technical challenges for prediction\, estimation\, a
 nd control at the core of the CAV technology in this talk. Using the integ
 rated power and thermal management for CAV as an example\, we will show ho
 w model-based design\, complemented by data-driven approaches\, can lead t
 o control and optimization solutions with a significant impact on energy e
 fficiency and operational reliability\, in addition to safety and accessib
 ility. Several unique problem characteristics\, such as multi-timescale\, 
 the highly interactive nature of subsystems involved\, and the dynamic and
  uncertain environment that CAVs are operating within will be illuminated\
 , and open challenges will be highlighted.</p><br /><br />Agenda: <br /><p
 >7:00 pm Meeting starts</p>\n<p>7:15 pm Introductions followed by presenta
 tion</p>\n<p>8:30 pm Adjorn</p>
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