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On the use of intermediate solutions in parallel model predictive control based on matrix splitting | IEEE Conference Publication | IEEE Xplore

On the use of intermediate solutions in parallel model predictive control based on matrix splitting


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 More

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.
Date of Conference: 17-20 December 2017
Date Added to IEEE Xplore: 08 February 2018
ISBN Information:
Conference Location: Gold Coast, QLD, Australia

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