JUCS - Journal of Universal Computer Science 13(2): 199-208, doi: 10.3217/jucs-013-02-0199
Parameter Estimation of Systems Described by the Relation with Noisy Observations
expand article infoJerzy Świątek‡
‡ Wroclaw University of Technology, Poland

Corresponding author: Jerzy Świątek ( jerzy.swiatek@pwr.wroc.pl )

© Jerzy Świątek.
This article is freely available under the J.UCS Open Content License.
Citation: Świątek J (2007) Parameter Estimation of Systems Described by the Relation with Noisy Observations. JUCS - Journal of Universal Computer Science 13(2): 199-208. https://doi.org/10.3217/jucs-013-02-0199
Open Access
Abstract
In this paper the problem of parameter estimation of an input-output system is discussed. It is assumed that the system is described by the relation known with accuracy to some parameters. The possible noisy observations of system are described. The estimation algorithm based on maximum likelihood method is proposed. The presented approach is illustrated by analytical examples.
Keywords
system identification, parameter estimation, input-output system, relational systems, knowledge representation