1. Identification in the process of knowledge and in the process of control.
2. Precarious and aposteriori information about identify system.
3. Classification of mathematical model.
4. Identification of structure and of parameters systems.
5. Identification methods.
6. Identification of method of mathematically- physical analysises.
7. Experimental method identification.
8. Deterministic method identification.
9. Formulation of mathematical description of continuous linear systems.
10.Determination of static and of dynamic feature systems, analysis of transient characteristic.
11. Identification method of gradual integration.
12.Statistical method identification.
13.Description of systems of difference equation, Z transformation
14.Stochastic process, statistical analysis of measured data.
KEESMAN, K. J. System Identification: An Introduction (Advanced Textbooks in Control and Signal Processing). London: Springer/Verlag London Limited, 2011. ISBN: 978-0857295217.
ISERMANN, R and M. MÜNCHHOF. Identification of Dynamic Systems: An Introduction with Applications. Berlin: Springer/Verlag Berlin Heidelberg, 2011. ISBN: 978-3540788782.
LJUNG, L. System Identification: Theory for the User. New Jersey: Prentice hall, 1999. ISBN: 978-0136566953.
Doporučená literatura
ISERMANN, R. and M. MÜNCHHOF.:Identification of Dynamical Systems: An Introduction with Applications. Springer, 2011. ISBN 9783540788799.
SCHOUKENS, J., R. PINTELON and Y. ROLAIN. Mastering System Identification in 100 Exercises. New Jersey: Wiley-IEEE Press, 2012. ISBN: 978-0470936986.