Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

Multivariable control systems design addresses the challenges of controlling processes with several interacting inputs and outputs. This field synthesises advanced control theories with practical ...

Systems integration businesses need only look at their management and control platform to get a good idea of why they are—or aren’t—as profitable at control system design as they should be. The ...

Identify and address the critical questions that consistently impact automation project outcomes across diverse industries like food processing, pharmaceuticals and transportation. Learn technical ...