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 ...

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 ...

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 ...

The Earth's oceans, covering over 70% of the planet's surface, represent a vast frontier for scientific discovery and resource utilization, yet remain ...