A line search improvement of efficient MPC

A recent efficient Model Predictive Control (MPC) strategy uses a univariate Newton-Raphson 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 Newton-Raphson...

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書目詳細資料
Main Authors: Kouvaritakis, B, Li, S, Cannon, M
其他作者: International Federation of Automatic Control (IFAC)
格式: Journal article
語言:English
出版: Elsevier 2010
主題:
實物特徵
總結:A recent efficient Model Predictive Control (MPC) strategy uses a univariate Newton-Raphson 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 Newton-Raphson method and which enables warm starting and early termination. Performance improvements are demonstrated over the Newton-Raphson method and alternative approaches based on quadratic programming or semidefinite programming.