Google
In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model predictive control.
Feb 5, 2017In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model pre- dictive control. MPC relies on the ...
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 ...
Feb 5, 2017In this section we will briefly describe MPC, the PQP and ADMM algorithms, as well as GPU computing. 2.1 Model Predictive Control. Linear MPC is ...
Efficient convex optimization on gpus for embedded model predictive control. Published in the General Purpose GPUs ACM 2017, 2017.
People also ask
Yu, L., Goldsmith, A., Di Cairano, S., "Efficient Convex Optimization on GPUs for Embedded Model Predictive Control", Workshop on General Purpose Processing ...
... GPU-based computational techniques as efficient building blocks for their convex optimization code. ... control theory, structural optimization, economics ...
Jun 14, 2022This paper proposes a graphics processing unit (GPU)-based method to parallelize and accelerate PD-IPM for real-time MPC.
Understanding The Security of Discrete GPUs , Efficient Convex Optimization on GPUs for Embedded Model Predictive Control , Merge or Separate?: Multi-job ...
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