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Optimal Design with Optimal Uncertainty in Parameters and Control Variables
Author(s) -
Longley A. W.,
Douglas P. L.
Publication year - 1996
Publication title -
developments in chemical engineering and mineral processing
Language(s) - English
Resource type - Journals
eISSN - 1932-2143
pISSN - 0969-1855
DOI - 10.1002/apj.5500040104
Subject(s) - control variable , continuous stirred tank reactor , optimal control , variable (mathematics) , state variable , process (computing) , optimal design , mathematical optimization , control theory (sociology) , uncertainty analysis , process variable , engineering , computer science , control (management) , mathematics , simulation , mathematical analysis , chemical engineering , artificial intelligence , machine learning , physics , thermodynamics , operating system
This paper presents a method for determining the optimal process design while simultaneously choosing the optimal levels of parameter and decision variable uncertainty. The optimal level of uncertainty is valuable in accessing steady state control systems and justifying (or refuting) further laboratory or bench‐scale investigations of process parameters. Development of the method begins with the classical approach to optimal design, then progresses to include parameter uncertainty. Next, the development incorporates decision variable uncertainty into the optimization. Finally, parameter and decision variable uncertainties are optimized. The development is accompanied by a case study of a continuous stirred tank reactor (CSTR).