Subject: Subject Sylbus: Advanced Methods for System Identification - 088757

Advanced Methods for System Identification - 088757
Will not be given the year
Credit
Points
3.0
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
3        
Possibility to guided reading

Determination of the grade according to progress during the semester and a final examination.


Incorporated Courses: Fundamentals in Estimation Theory 086777


L east Squares Estimators. Orthogonality Principle. Statistical Characteristics of Estimators. Cramer-Rao Bounds. Maximum Likelihood ( Ml ) Estimator. Minimum Mean Square Error Estimator. Maximum a Posteriori Estimator. Kalman Filter. Extended Kalman Filter ( Ekf ). Ekf as a Parameter Estimator. Ml State and Parameter Estimation in Dynamic Systems. Adaptive Estimation. Parameter Estimation and Identification in Aerospace Systems.


Created in 21/11/2017 Time 06:13:51