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Expert based ensemble learning algorithms often serve as online learning algorithms for an unknown, possibly time‐varying, probability distribution. Their simplicity allows flexibility in design choices, leading to variations that balance adaptiveness and consistency. This article provides an analytical framework to quantify the adaptiveness and consistency of expert based ensemble learning algorithms...
We present an approach that allows the Georgia Tech Miniature Autonomous Blimp (GT-MAB) to detect and follow a human. This accomplishment is the first Human Robot Interaction (HRI) demonstration between an uninstrumented human and a robotic blimp. GT-MAB is an ideal platform for HRI missions because it is safe to humans and can support sufficient flight time for HRI experiments. However, due to complex...
Priority-based scheduling strategies are often used to resolve contentions in resource constrained networked control systems (NCSs). Such scheduling strategies inevitably introduce time delays into controls. Considering the coupling between priority assignment and control, this paper proposes a novel method to co-design priority assignments and controls for each control loop in NCSs. The co-design...
We present a simple dynamical model for the transmembrane potential in non-excitable mammalian cells. This model allows us to mimic the effect of nanoparticles on the transmembrane potential, by decreasing the permeability of potassium ion channels. We show that our model agrees with the trends observed in our experiments. However, it also exhibits opposing trends under certain conditions, which were...
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