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UID:7a8f4d73af7ca6a734f774be9ee835a6
DTSTAMP:20240505T030027Z
SUMMARY:Wolf Kohn\, PhD
DESCRIPTION: \n\nThis presentation will focus on an overview of a new appro
 ach to the\ndesign and implementation of distributed intelligent control\,
  in which\nthe dynamic knowledge about the system dynamics\, criterion and
  sensor\ninformation is mapped into a network of controllers\, called Cont
 rol\nAgents\, that collaborate to implement a desired behavior. Each of th
 e\nagent’s behavior is encoded in a specialized function called\nConstra
 ined Data Hamiltonian. A Constrained Data Hamiltonian shares\nsome of the 
 properties with classic Hamiltonian functions in\nmechanics\, but it is es
 pecially formulated to operate in multiple\ndomains of applications. This 
 presentation will overview several\napplication domains. In Cooperative Di
 stributed Inferencing (CDI)\, the\nnetwork of agents is dynamically synchr
 onized using a Mean Field\napproach based on a cooperative game strategy a
 mong the agents.\n\nThe presentation will be organized as follows:\n\n *\n
 Basic overview of CDI formulation\, including some of its formal\naspects.
 \n\n *\nCDI implementation architecture.\n\n *\nSelected applications over
 views: Microgrid Control and Management\n(TECO)\, Intelligent Inventory an
 d assortment planning (Microsoft\nDynamics)\, Intelligent Block Chain Dyna
 mic Concurrency (CrowdPoint\nTechnology).\n\nA fourth application overview
 \, Manufacturing of Nano Semiconductor\nCircuits\, will be included if tim
 e permits. The presentation will\nconclude with a list of research and dev
 elopment issues in CDI and\napplications.\n 
DTSTART:20211006T160000Z
DTEND:20211006T171500Z
LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, 722\, Philadelphia\, PA
  19104
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