Learn how to use MATLAB to design and test robust process control strategies for dynamic systems. Discover how to model, simulate, analyze, optimize, and validate your control systems.

A collection of MATLAB scripts, functions, and documentation for control system simulations. The repository covers topics such as transfer function modeling, PID controller design, system response ...

This website has a series of tutorials on control systems. They are designed to help you learn how to use Matlab for the analysis and design of automatic control systems. They cover the basics of ...

The Inverted pendulum is a classical control problem used for illustrating non-linear control techniques. The system is motivated by applications such as control of rockets and anti-seismic control of ...

The Robotics System Toolbox for MATLAB provides a wide and growing set of functionalities for creating robotic systems: Robot Operating System (ROS) integration, mobile robotics, and robot manipulator ...

Cascade control system has better anti-interference ability, quickness, flexibility and quality control, so it is widely used in complex process control. Furnace temperature is primarily regulated by ...

“Control System Toolbox becomes more powerful and easier to use in R2016a,” says Paul Barnard, director – design automation, MathWorks.