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Oct 13, 2014 ¡¤ CVXGEN a code generator for embedded convex optimization, Optim Eng (2012) 13 1–27. Mattingley Wang Boyd 2011. Receding Horizon Control ...
Model predictive control (MPC) is an advanced feedback control strategy that allows for direct handling of constraints and is well-suited for multi-variable ...
Abstract—Model Predictive Control (MPC) is a popular approach used for ... modeling language for convex optimization. Journal of Machine. Learning ...
Keywords: Coordinate descent optimization, parallel algorithm, (sub)linear convergence rate, distributed model predictive control, embedded control. ✩The ...
Missing: GPUs | Show results with:GPUs
Abstract—Despite the proven advantages of scenario-based stochastic model predictive control for the operational control of water networks ...
design a cost function and a control policy using stochastic convex optimization ... ample using model-predictive control) to produce a successful controller for ...
Video for Efficient Convex Optimization on GPUs for Embedded Model Predictive Control
Feb 16, 2022 ¡¤ optimization problems include model predictive (or receding horizon) control, approximate ...
Duration: 1:06:23
Posted: Feb 16, 2022
Missing: GPUs | Show results with:GPUs
We develop such a method in this paper and demonstrate that it outperforms the existing state of the art for solving large convex optimization problems, a GPU- ...
Jun 20, 2024 ¡¤ The authors focus on convex QP problems, but many real-world MPC applications involve non-convex optimization challenges that may require ...
A Multiparametric Programming Approach to Accelerate Neural Network based Model Predictive Control (abstract) ... programming: Efficient formulations and ...