Model-Predictive Control in Practice

Thomas A. BADGWELL; S. Joe QIN

doi:10.1007/978-1-4471-5102-9_8-1

Model-Predictive Control in Practice

Thomas A. BADGWELL^*
, S. Joe QIN

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Reference Entry › peer-review

Abstract

This entry provides a brief description of model predictive control (MPC) technology and how it is used in practice. The emphasis here is on refining and chemical plant applications where the technology has achieved its greatest acceptance. After a short description of what MPC is and how it fits into the hierarchy of control functions, the basic algorithm is presented as a sequence of three optimization problems. The steps required for a successful application are then outlined, followed by a summary and outline of likely future directions for MPC technology.

Original language	English
Title of host publication	Encyclopedia of Systems and Control
Editors	John BAILLIEUL, Tariq SAMAD
Publisher	Springer London
Chapter	8-1
Pages	1-6
Edition	Live Reference
ISBN (Electronic)	9781447151029
DOIs	https://doi.org/10.1007/978-1-4471-5102-9_8-1
Publication status	E-pub ahead of print - 1 Jan 2014
Externally published	Yes

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Model-Predictive Control in Practice

Abstract

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