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TZID:Australia/Melbourne
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DTSTART:20251005T030000
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DTSTAMP:20260327T031106Z
UID:DBC55AA7-B8D1-487E-BD0C-8D318936D959
DTSTART;TZID=Australia/Melbourne:20260324T100000
DTEND;TZID=Australia/Melbourne:20260324T113000
DESCRIPTION:Talk title: Modeling\, Analysis and Control of Network Decision
 -making Dynamics\n\nTalk Abstract: Evolutionary dynamics in large populati
 ons of decision-making autonomous agents have become a powerful model to s
 tudy complex interactions in natural\, social\, economic and engineering s
 ystems. In this talk I focus on showing how evolutionary game theoretic mo
 dels can be studied using systems and control theory. We look into how fee
 dback actions can be incorporated and demonstrate that the closed-loop pop
 ulation dynamics may exhibit drastically different collective outcomes.\n\
 nSpeaker(s): Prof Ming Cao\n\nRoom: 201\, Bldg: Building 193 (EEE)\, Level
  2\, The University of Melbourne\, Parkville\, Victoria\, Australia\, 3010
 \, Virtual: https://events.vtools.ieee.org/m/546534
LOCATION:Room: 201\, Bldg: Building 193 (EEE)\, Level 2\, The University of
  Melbourne\, Parkville\, Victoria\, Australia\, 3010\, Virtual: https://ev
 ents.vtools.ieee.org/m/546534
ORGANIZER:ye.pu@unimelb.edu.au
SEQUENCE:15
SUMMARY:IEEE Control System Society Distinguished Lecture - Prof Ming Cao
URL;VALUE=URI:https://events.vtools.ieee.org/m/546534
X-ALT-DESC:Description: <br /><p>Talk title: &nbsp\;Modeling\, Analysis and
  Control of Network Decision-making Dynamics</p>\n<p>Talk Abstract: Evolut
 ionary dynamics in large populations of decision-making autonomous agents 
 have become a powerful model to study complex interactions in natural\, so
 cial\, economic and engineering systems. In this talk I focus on showing h
 ow evolutionary game theoretic models can be studied using systems and con
 trol theory. We look into how feedback actions can be incorporated and dem
 onstrate that the closed-loop population dynamics may exhibit drastically 
 different collective outcomes.</p>\n<p>&nbsp\;</p>
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