Abstract:
This paper considers a parallel model predictive control (MPC) method based on matrix splitting. A quadratic programming problem arising from linear MPC with input and st...Show MoreMetadata
Abstract:
This paper considers a parallel model predictive control (MPC) method based on matrix splitting. A quadratic programming problem arising from linear MPC with input and state constraints is transformed to smaller subproblems that can be solved in parallel. We show that an input sequence and part of a state sequence over the prediction horizon obtained from intermediate solutions at any iteration steps satisfy the constraints.
Published in: 2017 11th Asian Control Conference (ASCC)
Date of Conference: 17-20 December 2017
Date Added to IEEE Xplore: 08 February 2018
ISBN Information: