In Section II, the linear. MPC problem and the alternating direction of multipliers method (ADMM) – an algorithm which is particularly suit- able for solving ...
Jan 23, 2018 , Moreover, the advantage of using the semi-proximal terms instead of the positive definite proximal terms is that the resulting algorithm not ...
Feb 6, 2024 , To overcome these challenges, this paper proposes an ADMM- based parallel optimization methodology for solving the cen- tralized MPC problem ...
An Alternating Direction Method of Multipliers Algorithm for Symmetric MPC , C. Danielson. Engineering, Computer Science. 2018. 4 Citations , PDF. Add to ...
The Douglas--Rachford alternating direction method of multipliers (ADMM) has been widely used in various areas. The global convergence of ADMM is well known ...
C. Danielson, ^An alternating direction method of multipliers algorithm for symmetric MPC, ̄ in 2018 6th IFAC Nonlinear Model Predictive Control Conference (NMPC) ...
Alternating direction method of multipliers (ADMM) algorithm, , distributed control, , model predictive control (MPC), , reconfigurable architecture systems.
The Alternating Direction Method of Multipliers (ADMM) has gained a lot of attention for solving large-scale and objective-separable constrained optimization.
methods [8], the alternating direction method of multipliers. (ADMM) [9], [10] ... An efficient bounded-variable nonlinear least-squares algorithm for embedded MPC ...
Our approach is based on the alternating direction method of multipliers (ADMM) and leverages the structure of the MPC problem for efficiency. We ...