This video describes how to make an ideal PID controller more robust when controlling real systems that don’t behave like ideal linear models. - Download Code Examples to Learn How to Automatically Tune PID Controller Gainshttps: Noise is generated by sensors and is present in every system. The derivative in an ideal PID controller amplifies high-frequency noise. Even if that noise is relatively low amplitude, the derivative will sense it and possibly amplify it enough to impact the controller. To protect against high-frequency noise impacting the system, you can modify the derivative path with a low pass filter to reduce the noise before it causes any problems. PID Control with MATLAB and Simulink: PID Control Made Easy: PID documentation: Watch more MATLAB Tech Talks: Check out more control system lectures on Brian's Channel: Get a free MATLAB Trial: Learn more about MATLAB: Learn more about Simulink: See What's new in MATLAB and Simulink: © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.