A line search improvement of efficient MPC

Basil Kouvaritakis, Shuang Li, Mark Cannon*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

5 引用 (Scopus)

摘要

A recent efficient Model Predictive Control (MPC) strategy uses a univariate NewtonRaphson procedure to solve a dual problem, but is not amenable to warm starting or early termination. By solving a primal problem, the current note proposes a strategy which is more efficient than the NewtonRaphson method and which enables warm starting and early termination. Performance improvements are demonstrated over the NewtonRaphson method and alternative approaches based on quadratic programming or semidefinite programming.

源语言英语
页(从-至)1920-1924
页数5
期刊Automatica
46
11
DOI
出版状态已出版 - 11月 2010

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