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- W2759367923 abstract "Dynamic optimization problems often found in the chemical process industry involve uncertainty to a certain degree. Such uncertainties may lead to the deterministic optimal solution not being proper when the objective function is a nonlinear function of uncertain variables, or nominal operations near constraints for economic reasons can exhibit frequent excursions into infeasible regions due to exogenous disturbances. This paper presents stochastic dynamic optimization techniques that have been recently developed suitable for chemical process operations or biomedical problems. The main idea is to use sampling to handle exponential growth of the number of scenarios and complex model structures in solving dynamic program. A real-time optimization (RTO) for an integrated chemical plant is used for illustration. Due to the page limit, a biomedical example will be included in the presentation." @default.
- W2759367923 created "2017-10-06" @default.
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- W2759367923 date "2013-06-01" @default.
- W2759367923 modified "2023-09-26" @default.
- W2759367923 title "Robust Dynamic Optimization for Chemical Processes and Biomedical Applications" @default.
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- W2759367923 hasPublicationYear "2013" @default.
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