CMPE245: 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 Applied Mathematics and Statistics 218.) Enrollment restricted to graduate students.

5 credits

Year	Fall	Winter	Spring	Summer

Comments

Previously AMS 218

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