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The potential of the Augmented Kalman Filter algorithm is tested in this paper for joint state-input estimation in structural dynamics field. In view of inverse load identification, the filter is compared with the Transfer Path Analysis Matrix Inversion technique, commonly used for industrial applications. An existing Optimal Sensor Placement strategy for Kalman Filter is adopted and validated on real experimental data. The advantages of the proposed methods, through strain measurements information, are identified in the effort needed for data-acquisition and data-processing. The effectiveness of the filter and the quality of the results are demonstrated in this paper for an industrial test-case, such as a rear twistbeam suspension.

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Hydrodeoxygenation (HDO) of sugar alcohols could be a valuable reaction for the renewable production of alkenes. However, reports on deoxygenation of longer polyols (e.g. erythritol, xylitol, sorbitol) to mono-alkenes are scarce, especially when using H2 as reducing agent. Here we design a conceptually different catalyst system for polyol conversion to olefins, containing a selective Ru hydrogenation function (e.g. RuBr3) in an ionic liquid that dehydrates alcohols (tetrabutylphosphonium bromide, Bu4PBr). This system performs HDO of erythritol to butenes in yields up to 69%. Strikingly, overreduction to less valuable butane is effectively suppressed. We show that in situ formed CO is crucial in the formation and stabilization of the active and selective catalyst. The actual hydrogenation catalyst is identified as a Ru carbonyl bromide species, as demonstrated by FTIR and XANES. Finally, we show that this HDO also works for more economically relevant polyols: glycerol, xylitol and sorbitol, leading to propene, pentenes and hexenes as main products respectively.