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Adjustable robust optimal control for industrial 2-Mercaptobenzothiazole production processes under uncertainty
This paper focuses on the adjustable robust optimal control for industrial 2-Mercaptobenzothiazole (MBT) production processes. To overcome the computational intractability associated with solving the model of robust optimal control, a continuous affine decision rule to approximate the causal dependence of the wait-and-see decision variables on the infinite dimensional uncertainty factors is proposed. Subsequently, a simplified expression of the continuous affine decision rule is proposed to further release the computational burden. The adjustable robust dynamic counterpart of the adjustable robust optimal control model is discretized by backward difference and solved by NLP solver. The capability of the proposed adjustable robust optimal control model in achieving the satisfied objective value while retaining robustness under uncertainty is demonstrated by the case studies including two batch production modes and one continuous production mode.
Adjustable robust optimal control for industrial 2-Mercaptobenzothiazole production processes under uncertainty
This paper focuses on the adjustable robust optimal control for industrial 2-Mercaptobenzothiazole (MBT) production processes. To overcome the computational intractability associated with solving the model of robust optimal control, a continuous affine decision rule to approximate the causal dependence of the wait-and-see decision variables on the infinite dimensional uncertainty factors is proposed. Subsequently, a simplified expression of the continuous affine decision rule is proposed to further release the computational burden. The adjustable robust dynamic counterpart of the adjustable robust optimal control model is discretized by backward difference and solved by NLP solver. The capability of the proposed adjustable robust optimal control model in achieving the satisfied objective value while retaining robustness under uncertainty is demonstrated by the case studies including two batch production modes and one continuous production mode.
Adjustable robust optimal control for industrial 2-Mercaptobenzothiazole production processes under uncertainty
Optim Eng
Liang, Enzhi (author) / Yuan, Zhihong (author)
Optimization and Engineering ; 23 ; 1987-2024
2022-12-01
38 pages
Article (Journal)
Electronic Resource
English
Adjustable robust optimal control , Uncertainty , 2-Mercaptobenzothiazole production , Batch production , Start-up Mathematics , Optimization , Engineering, general , Systems Theory, Control , Environmental Management , Operations Research/Decision Theory , Financial Engineering , Mathematics and Statistics
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