Algorithms that respond to real-time feedback and can learn to respond to experimental irregularities can help deal with the complexities of biological manufacturing. That’s the subject of a talk due ...

The current path tracking control method is usually based on the steering wheel angle loop, which often makes the driver lose control of the automatic driving control loop. In order to involve the ...

The enhanced plant performance achieved at the 1,477-MW Morgantown Generating Station shows the value of model predictive control in conjunction with intelligent distributed control algorithms. This ...

Imperial College London's Department of Infectious Disease Epidemiology reports a model-predictive control approach that times non-pharmaceutical interventions from noisy real-time case data, ...

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 ...

Patient privacy concerns can make it challenging to develop predictive models using data from electronic health records. But a new study published this week in the Journal of the American Medical ...