System Identification with Julia: Experiments and Excitation - Part 6

Learn about excitation signals and experimental design for system identification in this 36-minute video tutorial from the Julia programming series. Explore essential concepts including Linear Time-Invariant (LTI) systems, impulse responses, and frequency-response estimation techniques. Master the application of random signals, understand signal spectrums, and implement step-response experiments. Dive into closed-loop identification methods, handle nonlinearities, and evaluate experimental data using coherence functions and data covariance. Access the accompanying Jupyter notebook for hands-on practice with JuliaSim and ControlSystemIdentification tools. Gain practical knowledge about system identification techniques while utilizing Julia's powerful ecosystem for modeling, simulation, and control applications.