Simple technique for batch process optimization with application to crystallization

Ming Ge, Qing Guo Wang, Min Sen Chiu, Tong Heng Lee, Chang Chieh Hang, Kim Hock Teo

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


An iterative dynamic optimization methodology is developed for on-line optimization of batch processes in the presence of plant-model mismatch and measurable error. In the proposed method, the plant-model mismatch is effectively eliminated by using information from previous batches to modify the trajectories that are applied to the subsequent ones. In addition, the effect of modeling error on the convergence of this algorithm is investigated. The utility of the proposed method is illustrated through the end-point optimization problem in the batch crystallization process, and the comparisons to other optimization methods are made.

Original languageEnglish
Pages (from-to)3610-3614
Number of pages5
JournalProceedings of the American Control Conference
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: 2 Jun 19994 Jun 1999

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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