Model-Predictive Control in Practice

Thomas A. BADGWELL; S. Joe QIN

doi:10.1007/978-1-4471-5058-9_8

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

18 Citations (Scopus)

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
Pages	756-760
ISBN (Electronic)	9781447150589
ISBN (Print)	9781447150572
DOIs	https://doi.org/10.1007/978-1-4471-5058-9_8
Publication status	Published - 1 Jan 2015
Externally published	Yes

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Model-Predictive Control in Practice

Abstract

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