Determining the effective time intervals in the recurrent processes of identification of dynamic systems

• Autorzy: Popov O. , Barcz A. , Piela P.
• Języki publikacji: EN

Abstrakty

EN

Using the mathematical models of dynamic objects in the simulation and modeling tasks we must pay attention to quality and speed of creation of those models. Depending on the amount of information about the considered object we can distinguish various tasks of model creation. One of the way of create model is using the identification methods. In case when we need the mathematical model of considered system while this system is operating it is necessary to use the recurrent algorithms of identification. Length of duration of the identification algorithm is specific a priori by the researcher. In the paper the way of using the singular value decomposition (SVD) in the identification equation for determining the effective time intervals of identification process is shown. It allows to determine the time of ending the identification algorithm.

Słowa kluczowe

EN

dynamics model; task of identification; singular value decomposition

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2008
• Tom: nr 4 (Tom 17)
• Strony: 195--202
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Popov O.

• Szczecin University of Technology, Faculty of Computer Science and Information Technology

autor

Barcz A.

• Szczecin University of Technology, Faculty of Computer Science and Information Technology

autor

Piela P.

• Szczecin University of Technology, Faculty of Computer Science and Information Technology

Bibliografia

• [1] Bielińska E., Finger J., Kasprzyk J., Jegierski T., Ogonowski Z., Pawełczyk M. Identification of process, Wydawnictwo Politechniki Śląskiej, Gliwice, 2002 (in polish).
• [2] Kiełbasinski A., Schwetlick H. Numerical linear algebra. Introduction to numerical computation. Second edition. Wydawnictwa Naukowo Techniczne, Warszawa, 1992 (in polish).
• [3] Ljung L. System Identification Theory for the User. Prentice Hall PTR, Upper Saddle River, New York, 1999.
• [4] Popov O. Elements of systems theory – dynamic systems. Wydawnictwo Uczelniane Politechniki Szczecińskiej, Szczecin 2005 (in polish).
• [5] Popov O. Investigation of structural qualities and informative density of dynamic processes. The method of quantitative estimations. International Conference of Control Problems, IPU, Moscow, 1999.
• [6] Popov O., Tretyakov A. Structural properties and informative density of dynamic processes: The method of quantitative estimation at the control, management and identification problems. Proceedings of the 5th International Conference Advanced Computer Systems, part II, p. 216 – 224, Szczecin, 1998.
• [7] Popov O., Tretyakov A., Quantitative measures of systems structural qualities in control, management and identification problems. Proceedings of Workshop on European Scientific and Industrial Collaboration WESIC’99, Newport, 1999.