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Implementation aspects of model predictive control for embedded systems
2012
2012 American Control Conference (ACC)
In this paper we discuss implementation related aspects of model predictive control schemes on embedded platforms. Exemplarily, we focus on fast gradient methods and present results from an implementation on an embedded low-cost ARM processor. We show that input quantization happening in actuators should be taken into account in order to determine the suboptimality level of the online optimization. Furthermore, we present results which allow the off-line determination of the online memory
doi:10.1109/acc.2012.6315076
fatcat:ha4ugg5qhbcvviaidirhw7cx5m