A novel threefold optimization algorithm is proposed to simultaneously solve the nonlinear model predictive control and dynamic real-time optimization for batch processes while optimizing the batch operation time. Object-oriented programming and parallel computing are exploited to make the algorithm effective to handle industrial cases. A well-known literature case is selected to validate the algorithm.
A Novel Real-Time Methodology for the Simultaneous Dynamic Optimization and Optimal Control of Batch Processes
ROSSI, FRANCESCO;MANENTI, FLAVIO;BOZZANO, GIULIA LUISA
2014-01-01
Abstract
A novel threefold optimization algorithm is proposed to simultaneously solve the nonlinear model predictive control and dynamic real-time optimization for batch processes while optimizing the batch operation time. Object-oriented programming and parallel computing are exploited to make the algorithm effective to handle industrial cases. A well-known literature case is selected to validate the algorithm.File in questo prodotto:
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