Design Optimization of UAVs / Design Optimization of UAVs: A multidisciplinary approach with uncertainty, fault-toleranc...
International audience
International audience
This article explores how guides negotiate uncertainty in a risky mountain environment based on three years of participant ethnography with Norwegian ski guides. This study makes two primary contributions. First, we introduce the literature on organizational routine dynamics to adventure tourism research; this helps to explain how guides perform an...
The longitudinal relation between toddlers behaviors in uncertain situations (e.g., information seeking, hesitation) and preschoolers uncertainty monitoring was investigated (between 2014 and 2019 in Northern California; Time 1: N = 183, M = 28.99 months, 53% female, 67.8% White; Time 2: N = 159, M = 41.64 months, 52.2% female). Eye movements and r...
A robust inverse method for the complex wavenumber space (complex k-space) extraction is essential for structural vibration and damping analysis of two-dimensional structures. Most existing methods suffer from extracting the reliable complex k-space of plates in the presence of realistic uncertainties, especially for plates with low damping propert...
BackgroundUncertainty is present in many situations in dental practice, but must not prevent wise clinical decision-making. Dental education should acknowledge uncertainty and teach useful management strategies. This study explored if dental students are aware of, and comfortable with uncertainty. The aims were to (i) measure students’ comfort or d...
Hydrological models are subject to natural variability in forcing conditions, yet traditional global sensitivity analysis (GSA) often overlooks these uncertainties, potentially limiting the validity of results to specific conditions. To address this, we propose an approach that accounts for the uncontrollable nature of rain forcing variability. We ...
Nonlinearity and uncertainty are major features in control systems. In this context, the present work proposes to merge the brain emotional learning model with the benefits of robust event-driven control to handle uncertain nonlinear systems. The state-dependent unmodeled dynamics is estimated via the limbic system-inspired learning algorithm and a...
This work presents a novel method for estimating mode coefficients in the spherical mode expansion of an antenna based on far-field radiation samples. The algorithm employs a mode-recursive strategy inspired by the Kalman Filter to produce high-quality, asymptotically unbiased estimators free from numerical artifacts. It also allows for controlled ...
Over the last decades, an increasing interest has been considered in improving vehicle performances by using advanced control systems. Nevertheless, the implementation of these systems can be a source of faults. To ensure vehicle stability without performance degradation, problems of both estimation and tracking control design are studied for vehic...
La meilleure compréhension des mécanismes moléculaires, cellulaires et immunologiques du cancer grâce aux évolutions technologiques a conduit au développement des thérapies ciblées, puis de l’immunothérapie, ce qui a changé la manière d’appréhender le traitement du cancer. Si ces traitements permettent d’aboutir à une personnalisation de plus en pl...