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 ...

Explore how digital feedback controllers manage motors, pressure, temperature, and more, and learn why ADC and DAC performance are crucial when designing robust embedded systems. How to define the ...

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

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