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DESCRIPTION:In this presentation we highlight three emerging technologies t
 hat appear to be truly disruptive\; that is\, they are likely to have such
  a large impact that they will change the way theoreticians and practition
 ers think about and accomplish manufacturing and process control. These te
 chnologies are Economic Model Predictive Control (EMPC)\, Deep Reinforceme
 nt Learning (DRL)\, and Open Process Automation (OPA). Economic MPC (EMPC)
  is a relatively new technology that combines economic optimization with M
 odel Predictive Control. This unification of closed-loop scheduling\, econ
 omic optimization\, and dynamic control provides a new platform for viewin
 g and analyzing manufacturing problems. Reinforcement Learning (RL) is a M
 achine Learning (ML) technology in which a computer agent learns\, through
  trial and error\, the best way to accomplish a particular task. It is lik
 ely that DRL will take over some of the more mundane tasks involved in man
 aging manufacturing systems\, such as tuning of PID controllers\, mitigati
 ng disturbances\, and recovering from process upsets. Open Process Automat
 ion (OPA) will allow manufacturers\, whose innovations have been constrain
 ed for decades by the limitations of closed\, proprietary systems\, to exp
 erience the benefits of open\, interoperable\, resilient\, secure-by-desig
 n automation systems. This will be made possible by the development of the
  consensus-based Open Process Automation Standard (O-PAS) by the Open Proc
 ess Automation Forum (OPAF).\n\nSpeaker(s): Dr. Badgwell\, \n\nVirtual: ht
 tps://events.vtools.ieee.org/m/402236
LOCATION:Virtual: https://events.vtools.ieee.org/m/402236
ORGANIZER:
SEQUENCE:72
SUMMARY:INDUSTRIAL LECTURE - THREE DISRUPTIVE TECHNOLOGIES COMING SOON TO M
 ANUFACTURING AND PROCESS CONTROL
URL;VALUE=URI:https://events.vtools.ieee.org/m/402236
X-ALT-DESC:Description: <br /><p>In this presentation we highlight three em
 erging technologies that appear to be truly disruptive\; that is\, they ar
 e likely to have such a large impact that they will change the way theoret
 icians and practitioners think about and accomplish manufacturing and proc
 ess control. &nbsp\;These technologies are Economic Model Predictive Contr
 ol (EMPC)\, Deep Reinforcement Learning (DRL)\, and Open Process Automatio
 n (OPA). &nbsp\;Economic MPC (EMPC) is a relatively new technology that co
 mbines economic optimization with Model Predictive Control. This unificati
 on of closed-loop scheduling\, economic optimization\, and dynamic control
  provides a new platform for viewing and analyzing manufacturing problems.
  Reinforcement Learning (RL) is a Machine Learning (ML) technology in whic
 h a computer agent learns\, through trial and error\, the best way to acco
 mplish a particular task. It is likely that DRL will take over some of the
  more mundane tasks involved in managing manufacturing systems\, such as t
 uning of PID controllers\, mitigating disturbances\, and recovering from p
 rocess upsets. Open Process Automation (OPA) will allow manufacturers\, wh
 ose innovations have been constrained for decades by the limitations of cl
 osed\, proprietary systems\, to experience the benefits of open\, interope
 rable\, resilient\, secure-by-design automation systems.&nbsp\; This will 
 be made possible by the development of the consensus-based Open Process Au
 tomation Standard (O-PAS) by the Open Process Automation Forum (OPAF).</p>
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