Electrical and Computer Engineering

ECE 245 Estimation and Introduction to Control of Stochastic Processes

Provides practical knowledge of Kalman filtering and introduces control theory for stochastic processes. Selected topics include: state-space modeling; discrete- and continuous-time Kalman filter; smoothing; and applications in feedback control. Students learn through hands-on experience. Students cannot receive credit for this course and course 145. (Formerly CMPE 245.)


Prerequisite(s): ECE 240 or ECE 241. Knowledge of Matlab is expected. Enrollment is restricted to graduate students.