Air pollution modelling and control represent critical intersections between environmental science, engineering and public policy. Modelling techniques—ranging from deterministic dispersion models and ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

We are excited to announce a special call for papers for an upcoming issue of Communications in Transportation Research ...

A new model to analyse infectious disease outbreak data has been developed by mathematicians that could be used to improve disease tracking and control. A new model to analyse infectious disease ...

A proposed new model for current-mode control retains the strengths of existing models such as ease of use and the ability to capture subharmonic oscillations, while improving on weaknesses like dc ...

Vapor compression cycles are predominantly used in air-conditioning, heat pump and refrigeration equipment. A good understanding of transient behaviors of vapor compression systems is critical to ...

Tesla has been known to have build and quality issues in the past, but the majority are related to cosmetic concerns rather than safety concerns. When people started hearing a loud squeaky sound from ...