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Feb 6, 2024 ， Abstract—This paper investigates the collision-free control problem for multi-agent systems. For such multi-agent systems, it is the typical situation where ...

Feb 6, 2024 ， A popular approach to solve it is the stochastic Alternating Direction Method of Multipliers (ADMM), but most stochastic ADMM-type methods focus on convex ...

Oct 15, 2023 ， This paper proposes a novel algorithm for training recurrent neural network models of nonlinear dynamical systems from an input/output training dataset.

Mar 27, 2024 ， The alternating direction method of multipliers (ADMM) is a popular and efficient approach for solving convex opti- mization problems, including SOCPs like (5) ...

Nov 29, 2023 ， ReLU-QP is derived by exactly reformulating the Alternating Direction Method of Multipliers (ADMM) algorithm for solving QPs as a deep, weight-tied neural ...

Jun 1, 2024 ， The iterations of proximal gradient descent converge to a solution if メ ＃ (0,2/L) (Parikh and Boyd, 2014). Alternating direction method of multipliers (ADMM).

Sep 24, 2024 ， This paper reviews the application of distributed model predictive control (DMPC) for autonomous intelligent systems (AIS) with unmanned aerial vehicles ...

### [PDF] Distributed MPC-Based Voltage Control for ActiveDistribution ...

pdfs.semanticscholar.org › ...

Jul 12, 2024 ， Finally, the alternating direction method of multipliers (ADMM) is employed to regulate voltage in a distributed manner. In what follows, the above steps are ...

May 7, 2024 ， This paper consists of a tutorial on the Augmented Lagrangian based Alternating Direction Inexact Newton method (ALADIN) and its application to distributed ...

May 27, 2024 ， It relies on a sound combination of the Alternating Direction Method of Multipliers (ADMM) and proximal algorithms to account for both compliant and rigid ...