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

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 ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

Expand Your Career Options With an Online Control Systems Certificate from One of the Nation’s Top Engineering Schools. Control systems engineers are responsible for designing, developing, and ...

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 ...

The shift from 12-V supply rails to 48-V power systems is pushing power levels under the hood to new highs. But it opens the ...

The integration of generative AI (GenAI) into tools such as cloud-based SaaS (software-as-a-service) products are driving dynamic transformation in the industrial automation space. The emergence of ...

Controlling hydraulic motion with precision involves understanding the fundamental difference between servo motors and hydraulic actuators. Electric motors generally respond linearly to control inputs ...

Built to measure the movement, location or displacement of an object along a linear or rotational path, position sensing in humanoid robots is needed to detect movement and convert it into signals ...

Combustion equipment safety is essential for the daily operation of facilities and safety of plant personnel. Safety protocols and mechanisms in industrial plants have improved drastically in the last ...