System Identification

Catalog description

This course will cover topics related to identifying frequency response function as well as linear state space models from input-output data. Topics include continuous and discrete time models, frequency response functions, model structure & parameterization, non-parametric models, subspace methods, observability & identifiability, model order estimation, sparse approximation and relationship to maximum likelihood estimation & Kalman filtering.