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2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)
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∞ 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 algorithmdoi:10.1109/ccac.2019.8920998 fatcat:s6coo54kjrcjzfqq7aoeadu3xa