Improvements in the efficiency of linear MPC

Shuang Li; Basil Kouvaritakis; Mark Cannon

doi:10.1016/j.automatica.2009.10.010

Improvements in the efficiency of linear MPC

Shuang Li, Basil Kouvaritakis^*, Mark Cannon

^*此作品的通讯作者

University of Oxford

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

A model predictive control (MPC) strategy based on augmented autonomous predictions enables a highly efficient online optimization by imposing a terminal constraint at the current time. Near-optimal performance is obtained by delaying the imposition of the terminal constraint by one sampling period. However, under certain conditions the degree of optimality can be affected. An extension is proposed to remove this difficulty, yielding significant improvements in the degree of optimality, and achieving this at modest computational cost.

源语言	英语
页（从-至）	226-229
页数	4
期刊	Automatica
卷	46
期	1
DOI	https://doi.org/10.1016/j.automatica.2009.10.010
出版状态	已出版 - 1月 2010
已对外发布	是

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10.1016/j.automatica.2009.10.010

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Improvements in the efficiency of linear MPC

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