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How to Implement a Kalman Filter in Simulink

This video demonstrates how you can estimate position using a Kalman filter in Simulink. Using MATLAB and Simulink, you can implement linear time-invariant or time-varying Kalman filters. In this video, a inverted pendulum system is modeled in Simulink using Simscape Multibody™. The angle of the pendulum and position of the cart are estimated using the Kalman filter block which is available in the Control System Toolbox™. The video shows how to configure Kalman filter block parameters such as the system model, initial state estimates, and noise characteristics. - Kalman Filter video series: - Deriving the state space model: - Design and use Kalman filters in MATLAB and Simulink:

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