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Abstract In this paper, we propose an iterative first-order gradient method for fast and efficient implementation of Model Predictive Control (MPC). The proposed method utilizes a matrix-splitting scheme common to… Click to show full abstract
Abstract In this paper, we propose an iterative first-order gradient method for fast and efficient implementation of Model Predictive Control (MPC). The proposed method utilizes a matrix-splitting scheme common to successive over-relaxation (SOR) iterative methods and may be considered a generalization of many existing fast gradient-based methods for MPC. We comment on parameter choices for global convergence and demonstrate the efficiency of the ensuing algorithms using a simulation example.
Keywords:
model predictive;
method;
predictive control;
method fast;
sor
Journal Title: IFAC-PapersOnLine
Year Published: 2017
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Journal Title: IFAC-PapersOnLine
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!