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 ...

Interactive configurators, real-time data access, RFQ automation, expert-guided product selection and error prevention are ...

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