Online simulations conducted in vehicles can enable predictive control of automotive
systems. This capability can be especially valuable for complex propulsion systems to …

As a result of the increasing system complexity and more strict performance requirements,
intelligent and robust decision-making and control capabilities are of great importance for …

The increasing complexity and demanding performance requirement of modern automotive
propulsion systems necessitate more intelligent and robust predictive controls. Due to the …

We present a multifidelity uncertainty quantification numerical method that leverages the
benefits of both sampling and surrogate modeling, while mitigating their downsides, for …

For many engineering problems, reliability and robustness are far more important than the
nominal performance when it comes to the choice of a design over another. Availability of …

An increasing number of science and engineering applications demand highly efficient
Uncertainty Quantification (UQ} capabilities in order to account for the presence of significant …

Manufacturing tolerance uncertainties in gas turbine aero-engines are unavoidable, which
adversely influence the thrust control performance of newly produced aero-engines …

In the last decade, the demand for stochastic engineering results has increased
substantially. Concurrently, improvements in computing hardware, access to large …

U quantification (UQ) is a topic of increasing importance in many engineering fields, such as
the aerospace and automotive industry [1, 2]. It aims at understanding and quantifying the …

Non-intrusive Polynomial Chaos (NIPC) methods have become popular for uncertainty
quantification, as they have the potential to achieve a significant reduction in computational …