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Download our Kalman Filter Virtual Lab to practice linear and extended Kalman filter design of a pendulum system with interactive exercises and animations in MATLAB and Simulink: bit.ly/3g5AwyS
This video demonstrates how you can estimate the angular position of a simple pendulum system using a Kalman filter in Simulink.
Download the model used in this video: bit.ly/2QcmPml
Using MATLAB and Simulink, you can implement linear time-invariant or time-varying Kalman filters. In this video, a simple pendulum system is modeled in Simulink using Simscape Multibody™. The angular position of the pendulum is estimated using the Kalman filter block that is available in Control System Toolbox™. The video shows how to configure Kalman filter block parameters such as the system model, initial state estimates, and noise characteristics.
Check out additional resources:
- Design and use Kalman filters in MATLAB and Simulink: bit.ly/32d1H53
- Kalman Filtering: bit.ly/3esIIFV
- State Estimation Using Time-Varying Kalman Filter: bit.ly/2DxrI4z
- Estimate States of Nonlinear System with Multiple, Multirate Sensors: bit.ly/38WYYxH
- Download examples and code - Design and Simulate Kalman Filter Algorithms: bit.ly/2Iq8Hks
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