This paper presents an alternating-direction method of multipliers (admm) algorithm for solving large-scale symmetric model predictive control (MPC) ...

Sep 25, 2020 ¡¤ In both case studies, the symmetric algorithm reduced the computation-time from minutes to seconds and memory usage from tens of megabytes to ...

This paper presents an alternating-direction method of multipliers (admm) algorithm for solving large-scale symmetric model predictive control (MPC) ...

Aug 25, 2018 ¡¤ We prove a key-property of the symmetric group that allows us to efficiently transform between the original and decomposed symmetric domains.

In both case studies, the symmetric algorithm reduced the computation‐time from minutes to seconds and memory usage from tens of megabytes to tens or hundreds ...

... An alternating direction method of multipliers algorithm for symmetric model predictive control. Claus Danielson 1. Show full list: 1 author. Hide authors ...

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This paper presents an alternating-direction method of multipliers (admm) algorithm for solving large-scale symmetric model predictive control (mpc) problems in ...

Z_$\mathbb{S}^{n}_{+}$_ZZ_$(\mathbb{S}_{++}^{n})$_Z denotes a real positive semidefinite (positive definite) symmetric matrix with the dimension Z_$n$_Z. Vector ...

Danielson, ¡°An alternating direction method of multipliers al- gorithm for symmetric MPC,¡± in 2018 6th IFAC Nonlinear Model. Predictive Control Conference ...

Feb 6, 2024 ¡¤ (positive definite) symmetric matrix with the dimension n. Vector combination notation with respect to column is denoted by (¡¤), i.e., a = (a1, ...