Combustion involves chemical reactions that are often highly exothermic. Combustion
systems utilize the energy of chemical compounds released during this reactive process for …

Engine design heavily relies on numerical simulation of engine environments, which greatly
accelerates the design iteration and increases efficiency. Nonetheless, for a long time, the …

Uncertainty analysis is a useful tool for inspecting and improving detailed kinetic
mechanisms because it can identify the greatest sources of model output error. Owing to the …

Abstract Comparison and quantification of different uncertainties of future climate change
involved in the modeling of a hydrological system are highly important for both hydrological …

Parameter uncertainties affect model-based system reliability analysis and may lead to
safety issues in model-based process design. Global sensitivity analysis (GSA) is a valuable …

The transition state theory (TST) and RRKM/master equation (ME) method have been well
acknowledged in developing combustion models. Uncertainties in input parameters, such as …

This paper is concerned with a highly efficient active fault detection and isolation (FDI)
framework. An auxiliary, fault-revealing input is derived by solving an optimization problem …

Model-based design principles have received considerable attention in biotechnology and
the chemical industry over the last two decades. However, parameter uncertainties of first …

The aim of this paper is to apply models and algorithms to address the problem of searching
and rescuing lost underwater vehicles. This paper main work is divided into three steps …

The usage of novel combustion technologies, such as Moderate or Intense Low-oxygen
Dilution (MILD) combustion, in the future energy mix provides both a flexible and reliable …