System Identification with Julia: Sensor Fusion - Part 13

Learn how to implement sensor fusion techniques in a 30-minute video tutorial focused on combining measurements from multiple sensors with different sampling rates. Explore practical implementation using ModelingToolkit by working with a pendulum system that receives both slow, noisy acceleration measurements and fast gyroscope readings affected by drift. Master the process of creating a state estimator that effectively merges data from both sensors to generate unbiased filtered estimates. Access accompanying resources including a detailed notebook file for hands-on practice with JuliaSim and ControlSystemIdentification tools. Discover advanced concepts in state and parameter estimation through recommended documentation links, while gaining practical experience in classical system identification using the Julia programming language. Connect with the development team for personalized support and suggest future topics for the system identification video series.