*****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 218. Enrollment by permission of instructor. General Education code: SR. D. Milutinovic
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