Adaptive state-space model approximation for quadcopter using Fast Orthogonal Search

Abstract

This paper presents a novel application of Fast Orthogonal Search (FOS) to select the basis and coefficients for a linear, state-space model representing the dynamics of a quadcopter. This is developed in the context of Model Predictive Control (MPC) by evaluating the performance of the approximate model over finite prediction horizons in different flight… (More)
DOI: 10.1109/CCECE.2017.7946688

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