Understanding Kalman Filters, Part 6: How to Use a Kalman Filter in Simulink

This video demonstrates how you can estimate the angular position of a simple pendulum system using a Kalman filter in Simulink. Download examples and code - Design and Simulate Kalman Filter Algorithms: https://bit.ly/2Iq8Hks Design and use Kalman filters in MATLAB and Simulink: https://goo.gl/SVA9IK Download model: http://bit.ly/2QcmPml Watch other MATLAB Tech Talks: https://goo.gl/jD0uOH Get a free Product Trial: https://goo.gl/C2Y9A5 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.

Part 1: Why Use Kalman Filters?

Part 2: State Observers

Part 3: Optimal State Estimator

Part 4: Optimal State Estimator Algorithm

Part 5: Nonlinear State Estimators

Part 6: How to Use a Kalman Filter in Simulink

Part 7: How to Use an Extended Kalman Filter in Simulink