— Estimation Theory & Application

Prerequisites & course information

Course Description: Estimation of the internal states of dynamic systems, fault diagnosis and state-feedback control. Stochastic system model, algorithm design and data analysis. Three basic elements of estimation: model, algorithm and data; with examples taken from applications in energy/mechanical systems. Learning Activities: Lecture 4 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter.