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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