Experimental evidence suggests that the dynamics of many physical phenomena are significantly affected by the underlying uncertainties associated with variations in properties and fluctuations in operating conditions. Recent developments in stochastic analysis have opened the possibility of realistic modeling of such systems in the presence of multiple sources of uncertainties. These advances r...

This study explores the issue of adaptive stabilization for a class high-order uncertain nonlinear systems with asymmetric output constraint and zero dynamics. By combining skillful Barrier Lyapunov Function (BLF) technique continuous feedback domination equipped group integral functions including nested sign functions, state stabilizer is established, which guarantees that closed-loop system’s...

The determination of the free parameters present in the modified Rutherford equation (MRE), which is routinely used for studying the physics of Neoclassical Tearing Mode (NTM) stabilisation, is addressed by making use of the Bayesian probability theory. The evaluation of the free coefficients is particularly sensitive to the assumptions used in the modelled equation, to the correlation of vario...

Probabilistic seismic hazard analysis (PSHA) combines the probabilities of all earthquake scenarios with different magnitudes and distances with predictions of resulting ground motion intensity, in order to compute seismic hazard at a site. PSHA also incorporates uncertainties in ground motion predictions, by considering multiple Ground Motion Prediction ("attenuation") Models (GMPMs). Current ...

Purpose – This literature review provides an overview of the traditional and green supply chain structures, an overview of the traditional and green performance measures and measurement systems. The supply chain infrastructure modelling is discussed from the strategic point of view, e.g. facility location. Different supply chain design models with single and multiple objectives are discussed. T...

All of the experimental compound data with which we work have significant uncertainties, due to imperfect correlations between experimental systems and the ultimate in vivo properties of compounds and the inherent variability in experimental conditions. When using these data to make decisions, it is essential that these uncertainties are taken into account to avoid making inappropriate decision...