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Training & Events

Easily Identify Critical Performance Issues in Model Predictive Controllers (MPC)

Tuesday, July 31, 2007
1:30 PM - 2:30 PM (GMT -04:00) Eastern Time (USA, Canada)

Language: English

Webcast Information
Automatically and Continuously Monitor MPC Applications

Advanced model predictive control (MPC) systems deliver substantial economic benefits. Register for this exclusive webcast and learn to automatically and continuously monitor all of your MPC applications, detect and prioritize problems and analyze, diagnose and correct MPC problems with speed and precision.

Register and learn how to:
  • remove the MPC monitoring burden from APC Engineers
  • quickly find poorly performing models using treemapping technology
  • find the root cause of the performance issues quickly
  • reduce the efforts required to troubleshoot complex problems
  • integrate MPC monitoring with regulatory loop and analyzer monitoring
Register and receive:

  • complimentary podcast
  • complimentary whitepaper
  • complimentary case study

Instructor Information
Rohit Patwardhan

Ph.D., P. Eng.

Dr. Rohit Patwardhan has worked in the broad area of automation with specific focus on advanced process control for over 8 years. His research interests lie in the area of model predictive control, system identification and process monitoring. He has published several papers in scientific journals and conferences on these topics.

Contact Information
Email: Rohit.Patwardhan@matrikon.com
Phone: 780.448.1010 - ext 4918
 
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