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DTSTAMP:20160926T192145Z
UID:443BE10E-7B6C-11E6-96B8-0050568D2FB3
DTSTART;TZID=America/New_York:20161025T190000
DTEND;TZID=America/New_York:20161025T200000
DESCRIPTION:The interaction of information and control has been a topic of 
 interest to system theorists that can be traced back to the 1950’s when 
 the fields of communications\, control\, and information theory were new b
 ut developing rapidly. Recent advances in our understanding of this interp
 lay have emerged from work on the dynamical effect of state quantization a
 nd a corresponding understanding of how communication channel data rates a
 ffect system stability. While a large body of research has now emerged dea
 ling with communication constrained feedback channels and optimal design o
 f information flows in networks\, less attention has been paid to ways in 
 which control systems should be designed in order to optimally mediate com
 putation and communication. Such optimization problems are of interest in 
 the context of quantum computing\, and similar problems have recently been
  discussed in connection with protocols for assembly of molecular componen
 ts in synthetic biology.\n\nCo-sponsored by: Villanova Center for Analytic
 s of Dynamic Systems\n\nSpeaker(s): Dr. John Baillieul\, \, Dr. John Baill
 ieul\, \n\nAgenda: \nTuesday\, October 25\, 2016: 7-8 PM\n\nRoom: 215\, Bl
 dg: Tolentine Hall\, 800 Lancaster Ave.\, Villanova University\, Villanova
 \, Pennsylvania\, United States\, 19085
LOCATION:Room: 215\, Bldg: Tolentine Hall\, 800 Lancaster Ave.\, Villanova 
 University\, Villanova\, Pennsylvania\, United States\, 19085
ORGANIZER:zahmad@kns.com
SEQUENCE:2
SUMMARY:INFORMATION BASED CONTROL AND CONTROL COMMUNICATION COMPLEXITY
URL;VALUE=URI:https://events.vtools.ieee.org/m/41202
X-ALT-DESC:Description: <br /><p>The interaction of information and control
  has been a topic of interest to system theorists that can be traced back 
 to the 1950&rsquo\;s when the fields of communications\, control\, and inf
 ormation theory were new but developing rapidly. &nbsp\;Recent advances in
  our understanding of this interplay have emerged from work on the dynamic
 al effect of state quantization and a corresponding understanding of how c
 ommunication channel data rates affect system stability. &nbsp\;While a la
 rge body of research has now emerged dealing with communication constraine
 d feedback channels and optimal design of information flows in networks\, 
 less attention has been paid to ways in which control systems should be de
 signed in order to optimally mediate computation and communication. &nbsp\
 ;Such optimization problems are of interest in the context of quantum comp
 uting\, and similar problems have recently been discussed in connection wi
 th protocols for assembly of molecular components in synthetic biology.</p
 ><br /><br />Agenda: <br /><p><strong><span style="font-family: verdana\,g
 eneva\; font-size: 14pt\;">Tuesday\, October 25\, 2016: 7-8 PM</span></str
 ong></p>
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