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In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model predictive control.
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 ...
This paper evaluates the suitability of the Tegra X1 processor as a platform for embedded model predictive control and investigates two different gradient ...
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 ...
Efficient convex optimization on gpus for embedded model predictive control. Published in the General Purpose GPUs ACM 2017, 2017.
Feb 5, 2017 ¡¤ In 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 ...
Yu, L., Goldsmith, A., Di Cairano, S., "Efficient Convex Optimization on GPUs for Embedded Model Predictive Control", Workshop on General Purpose Processing ...
Efficient convex optimization on gpus for embedded model predictive control. L Yu, A Goldsmith, S Di Cairano. Proceedings of the General Purpose GPUs, 12-21, ...
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Page 1. Sparse Convex Optimization on GPUs by. Marco Maggioni. B.A. (Politecnico di Milano) 2006. M.S. (University of Illinois at Chicago) 2008. M.S. ...
Efficient Convex Optimization on GPUs for Embedded Model Predictive Control. 12-21. view. electronic edition via DOI; unpaywalled version; references ...