Abstract
In this study, attention is focused on the design of a scheduled-optimization strategy for a batch MMA polymerization process. The objective of this strategy is to track an optimal temperature, despite uncertainties in the heat transfer and the gel ***effect. This strategy makes use of an (uncertain) physical model and on-line temperature measurements. The uncertain parameters are re-estimated on line, so as the optimal temperature trajectory. The good decoupling (in time) between the two major disturbances allows good performance to be achieved.
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