ECE245: 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 145.5 credits
Year | Fall | Winter | Spring | Summer |
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2022-23 |
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2020-21 |
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