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Participants will learn to identify opportunities for feedback and control in their professional context and develop the skills needed to effectively use Matlab and Simulink to analyse and design control systems. They will look at performance specifications and theoretical limits on what can be achieved, as well as discuss sensors and actuators. Although much of the course will centre on the basic workhorse control algorithm known as Proportional-Integral-Derivative (PID) control, participants will also go beyond PID control to explore 'loop shaping' and multivariable control, as well as some standard algorithms, including state feedback, linear-quadratic optimal control, state observers and Kalman filters. Relevant examples will be drawn from a range of applications to give context to conceptual information and participants will be encouraged to apply their learning to their own work through discussions and project work. To learn more about this course or Cambridge Advance Online, visit https://advanceonline.cam.ac.uk/