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.
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.
