Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties

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• 作者：Jennifer Puschke^a ; ¹ ; ^{jennifer.puschke@avt.rwth-aachen.de} ; Alexandr Zubov^b ; ² ; ^{alexandr.zubov@vscht.cz} ; Juraj Kosek^b ; ² ; ^{juraj.kosek@vscht.cz} ; Alexander Mitsos^a ; ¹ ; ^{amitsos@alum.mit.edu}
• 关键词：Parameter uncertainty ; Uncertain dynamic systems ; Optimal control problem ; Robust dynamic optimization
• 刊名：Computers & Chemical Engineering
• 出版年：2017
• 出版时间：4 March 2017
• 年：2017
• 卷：98
• 期：Complete
• 页码：161-179
• 全文大小：2520 K
• 卷排序：98

文摘

A multi-model approach is proposed as an approximation of robust dynamic optimization. The nominal model is optimized simultaneously with worst-case models to enable robustness. Worst-case parameter values are selected based on parametric sensitivities. Constraint violations are unlikely with the presented two-model approach. Robust optimization of copolymerization and penicillin formation is performed.