There are currently no scheduled offerings of this course. For more information on when this course may be offered in the future please contact the Registrar's Office.

MCTR 421 - Applied Estimation and Filtering for Mechatronics

3 units (fi 8)(SECOND, 3-0-3/2)

Faculty of Engineering

Review of probability, random variables, and stochastic processes. Recursive state estimation: Bayes filter, linear Kalman filter and its extension to nonlinear systems. Practical applications of filtering techniques to mechatronics systems. Prerequisite: MCTR 420.

No past terms

No Terms

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No syllabi