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AccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny Drones

US & West · yesterday

arXiv:2609.09380v1 Announce Type: cross Abstract: Unlocking the potential of tiny aerial robots requires order of magnitude improvements in the performance of embedded edge control. In particular, although recent cached model predictive control (MPC) solvers can handle the fast system dynamics and…

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Original headline: AccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny Drones

Read the original: arXiv — Systems and Control (eess.SY)

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AccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny Drones

Relevant to DT products

Related

A Model-Centric DevOps Architecture for DEVS-Based Digital Twin Simulation Services

Plant Equivalent Controller Realizations for Attack-Resilient Cyber-Physical Systems

Identifiability of Latent Space Network Models on Anisotropic Thurston Geometries