期刊论文

Li, JX

英文

Processes

2227-9717

2025

13

1

113-

10.3390/pr13010113

This work was supported in part by the National Natural Science Foundation of China (62103063, 62303494, 62303073), in part by the Science Research Project of Hunan Provincial Education Department (22B0329), and in part by the Natural Science Foundation of Hunan Province of China (2022JJ40510, 2024JJ6722).

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Process optimization is a highly successful method for achieving optimal efficiency in industrial production. The conventional optimization approach presupposes that the operational parameters should align with the optimization settings. However, it fails to consider that, influenced by the stochastic performance of the control loops, the operating parameters may deviate from the optimal operating settings. Consequently, this results in the violation of constraints in the optimization results and affects production safety. Therefore, this paper proposes an uncertainty optimization method that ...