CMPE245: Estimation and Introduction to Control of Stochastic Processes

*****COURSES ARE SUBJECT TO CHANGE*****

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 Applied Mathematics and Statistics 218.) Enrollment restricted to graduate students.

5 Credits

YearFallWinterSpringSummer
2017-18
2016-17
2015-16
2014-15
Comments

Previously AMS 218

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.