Dynamic decision making under uncertainty provides managers with tools to make better-informed decisions to improve objectives such as profits, throughput through networks, scheduling, and reducing the impact of extreme ...

The present thesis regards linear estimation and control for two fluid flows, with a particular focus on the placement of sensors and actuators. In the first part of the thesis, we study the complex Ginzburg-Landau equation, ...

In an automotive diesel airpath application, the controller is required to track reference values of intake manifold (boost) pressure and exhaust gas recirculation (EGR) rate. EGR rate is the ratio of the EGR outflow rate ...

The present work develops reduced-order models for the fluid-structure interaction of two-dimensional membrane wings at low Reynolds numbers. The fluid-structure interaction models are obtained from the coupling between a ...

This thesis addresses several topics relating to the planning of underground mines, with a focus on underlying mathematical models. Some mineral resources are mined by a combination of open-pit and underground mining ...

This thesis reports on flame-wall interaction (FWI) and flame-cooling-air interaction (FCAI), and shows that they can directly impact exhaust CO emission ([CO]_exh). These conclusions are determined through the application ...

In today’s age of rapid technological advancement, there is an extensive choice of advertising channels available to marketing practitioners. From traditional offline channels to burgeoning online channels, the options and ...

An adaptive cruise control (ACC) is designed to schedule the velocity of a vehicle whilst maintaining an adequate distance to a vehicle in front. Subject to this distance requirement, the velocity control problem can show ...

The advances in surgical instruments have played a significant role in the reduction of surgical trauma on patients. The evolution of surgical applications to the current popular approaches of minimally invasive surgery ...

Iterative learning control (ILC) is an advanced control algorithm that achieves tracking of the desired reference trajectory through repetitions without using the precise knowledge of the dynamic systems. In a feed-forward ...