How to Use an Extended Kalman Filter in Simulink | Understanding Kalman Filters, Part 7

Описание: 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: https://bit.ly/3g5AwyS

This video demonstrates how you can estimate the angular position of a nonlinear pendulum system using an extended Kalman filter in Simulink.

Download the model used in this video: http://bit.ly/2Qi3hgw

In this video, a simple pendulum system is modeled in Simulink using Simscape Multibody™. The angular position of the nonlinear pendulum system is estimated using the Extended Kalman Filter block that is available in Control System Toolbox™. The video shows how to specify Extended Kalman Filter block parameters such as the state transition and measurement functions, initial state estimates, and noise characteristics. If you want to run state estimation on your hardware in real-time, you can generate C/C++ code from the Extended Kalman Filter block in Simulink, and deploy it to your hardware.

Check out additional resources:
Design and use Kalman filters in MATLAB and Simulink: https://bit.ly/3i4VKwG
Download examples and code - Design and Simulate Kalman Filter Algorithms: https://bit.ly/2Iq8Hks
Extended and Unscented Kalman Filter Algorithms for Online State Estimation: https://bit.ly/2WjqVLd
Extended Kalman Filters: https://bit.ly/2DAgJHC
Parameter and State Estimation in Simulink Using Particle Filter Block: https://bit.ly/3mXgXd4
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