TinySDP is the first semidefinite programming solver designed for embedded systems, enabling real-time certifiable model predictive control with nonconvex geometric constraints on microcontrollers.
Distributed optimization and statistical learning via the alternating direction method of multipliers.Foundations and Trends® in Machine learning, 3(1):1–122, 2011
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GPU-SLS computes safe robust nonlinear MPC policies online in ~20 ms for up to 75D systems by reachability-constrained system level synthesis accelerated via custom GPU QP solvers.
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TinySDP: Real Time Semidefinite Optimization for Certifiable and Agile Edge Robotics
TinySDP is the first semidefinite programming solver designed for embedded systems, enabling real-time certifiable model predictive control with nonconvex geometric constraints on microcontrollers.
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Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
GPU-SLS computes safe robust nonlinear MPC policies online in ~20 ms for up to 75D systems by reachability-constrained system level synthesis accelerated via custom GPU QP solvers.