Encyclopedia of Systems and Control

Living Edition
| Editors: John Baillieul, Tariq Samad

Control and Optimization of Batch Processes

  • Dominique Bonvin
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4471-5102-9_251-1

Abstract

A batch process is characterized by the repetition of time-varying operations of finite duration. Due to the repetition, there are two independent “time” variables, namely, the run time during a batch and the batch counter. Accordingly, the control and optimization objectives can be defined for a given batch or over several batches. This entry describes the various control and optimization strategies available for the operation of batch processes. These include conventional feedback control, predictive control, iterative learning control, and run-to-run control on the one hand and model-based repeated optimization and model-free self-optimizing schemes on the other.

Keywords

Batch control Batch process optimization Iterative learning control Run-to-run control Dynamic optimization Run-to-run optimization 
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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.Laboratoire d’AutomatiqueÉcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland