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 ...

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

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 ...

Cosmos Policy is a new robot control policy that post-trains the Cosmos Predict-2 world foundation model for manipulation tasks.