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: https://bit.ly/3z8Nvrz - Deriving the state space model: https://bit.ly/3w4beXY - Design and use Kalman filters in MATLAB and Simulink: https://bit.ly/3v0wzR4