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Design, tune, and implement PID controllers in MATLAB and Simulink.
In this webinar you will learn how to design and implement a PID controller when a plant model is not available. Through a DC motor control example, you will learn how to: Apply input signals...
Over the past several years MathWorks made tuning of PID controllers easy with automatic PID tuner.  But what about more complex, multivariable control systems that have multiple coupled loops with...
Time delay (transport delay, transport lag, dead time) is a phenomenon that occurs in physical systems that have latency in sensors, actuators, and network communication. To avoid negative effects on...
In this webinar, you will learn how to use simulation to design and implement multivariable controllers for a four-joint robot arm. We use two different techniques that go beyond the traditional...
Photovoltaic solar power technology is being pushed to the forefront as a viable alternative source of renewable energy.  Addressing the key design challenges involved in the development and...
In this webinar MathWorks engineers demonstrate the benefits of using Simulink as a platform for modeling and control system design for a sheet-metal-rolling application.
Professor Richard Hill demonstrates and discusses a series of simple hardware-based experiments for the system dynamics and controls curriculum.
In this webinar, Professor Richard Hill explains how you can use the redesigned Controls Tutorials for MATLAB and Simulink to invert the classroom and create a more active learning environment.
In its 2009 Controls Curriculum Survey, the IEEE Control System Society identified the gaps between control system education and industry expectations of entry-level control engineers. For example,...
In this webinar we will show how the suite of MathWorks tools complement and enhance each other, and how when combining them together, the user can unleash the full potential of our complete...