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Plant-Wide Neurocontrol of the Tennessee Eastman Challenge Process Using Evolutionary Reinforcement Learning  (Make Corrections)  
A.v.E. Conradie, C. Aldrich



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Abstract: The Tennessee Eastman (TE) Control Challenge proposed by Downs and Vogel [1] is a test bed problem for use in evaluating advanced process control methodologies from a plant-wide perspective. The dynamic model for the process (based on an actual industrial process) integrates the operation of five unit operations; viz. an exothermic, two-phase reactor, a partial condenser, a centrifugal compressor, a flash drum and a reboiled stripper. The process incorporates 41 process variables and 12... (Update)

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BibTeX entry:   (Update)

@misc{ conradie-plantwide,
  author = "A.v.E. Conradie and C. Aldrich",
  title = "Plant-Wide Neurocontrol of the Tennessee Eastman Challenge Process Using
    Evolutionary Reinforcement Learning",
  url = "citeseer.ist.psu.edu/461516.html" }
Citations (may not include all citations):
13   Forming Neural Networks through Efficient and Adaptive Coevo.. - Moriarty, Miikkulainen - 1998
3   Neurocontroller Development for Nonlinear Processes Utilisin.. (context) - Conradie - 2000
3   Nonlinear Model Predictive Control of the Tennessee Eastman .. (context) - Ricker, Lee - 1995
2   Optimal Steady-State Operation of the Tennessee Eastman Chal.. (context) - Ricker - 1995
2   Process Control via Artificial Neural Networks and Reinforce.. (context) - Hoskins, Himmelblau - 1992
2   Base Control for the Tennessee Eastman Problem (context) - McAvoy, Ye - 1994
1   A Plant-Wide Industiral Process Control Problem (context) - Downs, Vogel - 1993

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