Abstract
A non-traditional approach to solving the identification problems using a small number of observations is developed. The approach is formulated as an estimate conformity principle. The problem of identifying a linear dynamic model is treated within this approach. A significant feature of the above method is the use of a quality criterion not requiring the knowledge of a priori probability noise distributions. The method is well suitable for real-time object identification in adaptive control systems.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Graupe, D.: Identification of systems. Colorado State University Fort Collins, Robert E. Kriger Publishing Company Huntington, New York, 1978.
Ljung, L.: System Identification, Theory for the User. University of Linkoping, Sweden Prentice-Hall, Inc., 1987.
Bjorck Ake.: Least Squares Methods, Elsevier Science Publishers B.V. North Holland, 1990.
Kalman P.E.: Noised systems identification, Advances of Mathematical Sciences, v. 40, issue 4(244), 1985.
Fursov V.: Conformity principle in the problems of evaluating using a small number of observations, Proceedings of the IASTED International Conference Automation, Control, and Information Technology, June 10–13, 2002, Novosibirsk, Russia, p. 279–281.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fursov, V. (2003). Estimates Conformity Principle in the Problems of Identification. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J.J., Zomaya, A.Y. (eds) Computational Science — ICCS 2003. ICCS 2003. Lecture Notes in Computer Science, vol 2658. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44862-4_49
Download citation
DOI: https://doi.org/10.1007/3-540-44862-4_49
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40195-7
Online ISBN: 978-3-540-44862-4
eBook Packages: Springer Book Archive