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Introduction to Estimation and Kalman Filtering
22 November 2016
This one-day course is aimed at introducing Kalman Filter algorithm and implementation as an observer and parameter estimation. This is particular useful when one consider the modelling of linear and/or nonlinear control systems. Kalman filter is an efficient recursive filter that is capable to estimate a state from a series of measurement of the other states of a linear dynamic system. In order for parameter or state estimation of a nonlinear system, extended Kalman filter is used for this application and this is covered in this course.
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