In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model predictive control. MPC relies on the real time solution ...
[PDF] Efficient Convex Optimization on GPUs for Embedded Model ...
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Feb 5, 2017 ， In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model pre- dictive control. MPC relies on the ...
Efficient convex optimization on gpus for embedded model predictive control. Published in the General Purpose GPUs ACM 2017, 2017.
Feb 5, 2017 ， ABSTRACT. GPU applications have traditionally run on PCs or in larger scale systems. With the introduction of the Tegra line of mobile ...
In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model predictive control. MPC relies on the real time solution ...
... GPU-based computational techniques as efficient building blocks for their convex optimization code. ... control theory, structural optimization, economics ...
Jun 14, 2022 ， This paper proposes a graphics processing unit (GPU)-based method to parallelize and accelerate PD-IPM for real-time MPC.
This work addresses the implementation of an interior point algorithm for the solution of multi-stage quadratic programming (QP) problems. Of particular ...
Missing: GPUs | Show results with:GPUs
Jul 4, 2021 ， The hardware architecture and programming model of GPUs necessitates a fresh look at parallelization approaches for numerical optimization.
Sep 10, 2024 ， In this paper we propose a novel quadratic model predictive control technique that constrains the number of active inputs at each control ...