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- W2992882034 abstract "Several attempts have been made to execute control of a system using only a smartphone's processor running computationally inexpensive algorithms such as PID, LQR or H <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>∞</sub> controllers. This paper presents design and implementation of model predictive controllers on a smartphone using the numerical optimization framework CasADi. To evaluate this framework's performance (and compare its results with those from a Java library JOptimizer's deployment) the implemented model predictive control algorithm was subjected to simulations of running a quadrotor control system on a smartphone. It attained a tracking error of 0.0693 m. These evaluation results open the possibility of implementing more computationally expensive algorithms on a smartphone's processor including online or real-time usage." @default.
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- W2992882034 date "2019-10-01" @default.
- W2992882034 modified "2023-10-16" @default.
- W2992882034 title "Fast Model Predictive Control on a Smartphone-based Flight Controller" @default.
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- W2992882034 doi "https://doi.org/10.1109/ccac.2019.8920998" @default.
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