Optimal Estimation and Kalman Filtering

3 Credits

Methods of estimating parameters and random variables from noisy measurements with applications. State estimation of linear and non-linear dynamic systems with Kalman filtering and extended Kalman filtering, with mechanical and aerospace engineering applications such as target tracking.