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Learn adaptive estimation and control techniques in this 34-minute video tutorial focused on system identification using Julia programming language. Explore practical applications of state estimators from LowLevelParticleFilters.jl, a state-estimation library within JuliaSim. Master the fundamentals of estimating dynamical models through input-output data analysis while working with essential tools like JuliaSim and ControlSystemIdentification. Access the accompanying notebook file for hands-on practice and dive deep into state and parameter estimation concepts. Gain valuable insights into enterprise-level modeling, simulation, and control solutions built on ControlSystems.jl platform. Connect with the development team for questions, feedback, or specific system-identification topics you'd like to explore further.
Syllabus
System identification with Julia: 11 Adaptive estimation and control
Taught by
JuliaHub