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In this final chapter, we bring the components introduced in the earlier chapters together to integrate the process design, scheduling, and advanced control problems in a single unified framework. The framework features (i) a mixed-integer dynamic optimization (MIDO) formulation with design, scheduling, and control considerations, and (ii) a multi-parametric optimization strategy for the derivation of offline/explicit maps of optimal receding horizon policies.

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Simultaneous Process Design, Scheduling, and Advanced Model Based Control

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  • 发表日期：

    2026年

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  • Baris Burnak,
  • Nikolaos A. Diangelakis,
  • Efstratios N. Pistikopoulos

摘要

In this final chapter, we bring the components introduced in the earlier chapters together to integrate the process design, scheduling, and advanced control problems in a single unified framework. The framework features (i) a mixed-integer dynamic optimization (MIDO) formulation with design, scheduling, and control considerations, and (ii) a multi-parametric optimization strategy for the derivation of offline/explicit maps of optimal receding horizon policies.