Prerequisites: ME 120, ME 121 or equivalent; or consent of instructor
Description: Introduces optimal control and estimation with specific focus on discrete time linear systems. Topics include analysis of discrete Riccati equations; asymptotic properties of optimal controllers; optimal tracking; an introduction to Receding Horizon control; derivation of the Kalman filter; Extended Kalman Filter; and Un- scented Kalman filter.
Cross-listing: Cross-listed with ME 220.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.