MEE 627

Stochastic Estimation and Control

State-space descriptions of linear systems; design of variance minimizing state feedback controllers, LQG controllers, and discrete and continuous time Kalman filter. Nonlinear estimation methods such as the extended Kalman filter and particle filter. Theory will be motivated through applications in radar tracking, mobile robot control, and computer vision

Units: 3.0