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Estimation Theory
Abbreviation: Load: 45(L) + 0(E) + 0(LE) + 0(CE)
Lecturers in charge: Prof. dr. sc. Nedjeljko Perić
Prof. dr. sc. Ivan Petrović
Doc. dr. sc. Mario Vašak
Lecturers:
Course description: Methods for system model estimation (system identification) and system states identification are elaborated. System identification based on deterministic excitation signals. Nonparametric system identification methods in time and frequency domain. Estimation of the system model parameters: least-squares method, instrumental variables method, maximal likelihood method. Selection of the model structure and verification of the obtained model. State estimation of the deterministic systems. State estimation of the stochastic systems: linear and nonlinear Kalman filters. Simultaneous estimation of system parameters and states. Examples of estimation techniques application to system control, system fault detection, signal processing etc.
Lecture languages: - - -
Compulsory literature:
1. Identifikacija procesa-predavanja, Skripta Perić, N., Petrović, I FER, Zagreb 2005
2. System Identification - Theory for the Users (2nd Edition) Ljung, L. Prentice-Hall 1998
3. Kalman Filtering and Neural Networks Haykin, S. (Editor) John Wiley&Sons 2001
4. Adaptive Filtering and Change Detection Gustafsson, F. John Wiley&Sons 2000
Recommended literature: - - -
Legend
L - Lectures
E - Exercises
LE - Laboratory exercises
CE - Project laboratory
* - Not graded
Copyright (c) 2006. Ministarstva znanosti, obrazovanja i športa. Sva prava zadržana.
Programska podrška (c) 2006. Fakultet elektrotehnike i računarstva.
Oblikovanje(c) 2006. Listopad Web Studio.
Posljednja izmjena 2011-07-19