Institute of Information Theory and Automation

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Dept.: AS Duration: 2013 - 2015
The project is aimed to bring a novel type of monitors of the overall control system condition based on hierarchical assessment of its components. The idea combines mathematical models of system's inner relations and priors on components reliability by using a consistent probabilistic approach.
Dept.: AS Duration: 2009 - 2012
The project aims to develop a novel on-line estimator of the key process variable in rolling mills by mixing multiple models with different sensitivities to inaccuracy in process data. The approach relies on the systematic treatment of uncertainty and merging of all available information.
Dept.: AS Duration: 2004 - 2007
First version of a decision support system using biophysical and radiological data was practically tested. Some of its insufficiencies indicate improvement of the methodology of mixture analysis and extension of the data set by biochemical, histological and other medical quantities. The aims: 1. Extension of theory and algorithms of Bayesian mixture analysis for consistent processing of discrete...