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finance. Applications in control system engineering include model predictive control (MPC). [12] and moving horizon estimation (MHE) [1]. In machine ...
Control policies that involve the real-time solution of one or more convex optimization problems include model predictive (or receding horizon) control.
Missing: GPUs | Show results with:GPUs
... Programming (PQP) and Alternating Direction Method of Multipliers (ADMM). ... Efficient Convex Optimization on GPUs for Embedded Model Predictive Control.
CVXPY: A Python-embedded modeling language for convex optimization. Journal of Machine Learning Research, 17 (83) (2016), pp. 1-5. URL. https://www.cvxpy.org ...
Mar 28, 2022 ˇ¤ Mattingley, J. and Boyd, S. (2012), ˇ°CVXGEN: a code generator for embedded convex optimizationˇ±, Optimization and Engineering, Vol. 13 No.
... model predictive control algorithm on graphics processing unit (GPU). ... Efficient Convex Optimization on GPUs for Embedded Model Predictive Control.
Mar 27, 2021 ˇ¤ Distributed and Localized Model Predictive Control ... Di Cairano, ˇ°Efficient convex optimization on gpus for embedded model predictive control,ˇ± ...
Convex QP optimization problems are par- ticularly attractive for edge applications like robotic MPC, in which a smooth closed-loop interaction with the environ ...
[12] treats the MPC optimization problem as a general quadratic programming problem and, as a result, cannot scale up with the problem size. A GPU-based ...
Oct 13, 2014 ˇ¤ CVXGEN a code generator for embedded convex optimization, Optim Eng (2012) 13 1–27. Mattingley Wang Boyd 2011. Receding Horizon Control ...