Institute of Information Theory and Automation

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Historical publications of AS department

V. Peterka, J. Krýže, and A. Fořtová. Numerical solution of Wiener-Hopf equation in statistical identification of linear dynamic systems. Kybernetika, 2:331-346, 1966. Download.

The Otto Wichterle Award for Jozef Baruník

In the year 2012 the President of the Academy of Sciences of the CR granted The Otto Wichterle Award to promising young scientists of the ASCR on the recommendations of the Jury for granting The Otto Wichterle Award to

PhDr. Jozef Baruník, Ph.D.

From Econometric department of the Institute of Information Theory and Automation.

Innovation Award for Cyril Hὅschl

AwardCH
Cyril Hὅschl, a Ph.D. student in Dept. of Image Processing, was awarded the Innovation Award given by The International Institute for Advanced Studies in Systems Research and Cybernetics. The award was presented to him at the 24th International Conference on Systems Research, Informatics and Cybernetics held in Baden-Baden, Germany, 2012.

Prize of Antonín Svoboda was awared to Pavel Vácha

Pavel Vacha - cena CSKI
Czech society for cybernetics and informatics awarded Prize of Antonín Svoboda for the best PhD thesis in 2011 to

RNDr. Pavel Vácha, Ph.D.

from Institute of Information Theory and Automation.



Best Paper Award for Dr. Petr Augusta

Best_P_PA.jpg
Petr Augusta from Department of Control Theory was awarded The Best Paper Diploma of the 13th International Carpathian Control Conference held in High Tatras, Slovak Republic. Title of the awarded paper is: Distributed Stabilisation of Spatially Invariant Systems Via Positive Polynomial Approach: MIMO Systems Case.

Spring school of image processing 2012

The Spring School of Image Processing is a popular meeting point of students and researchers from several Czech institutions involved in image processing research as well as guests from abroad. The program of the 2012nd edition of the Spring School of Image Processing will consist mainly of tutorial talks given by organizers from the Department of Image Processing (ÚTIA) and participating Ph.D. students. More about the program you can find on the web of Image Processing Department.

Bayesian soft sensor: a tool for on-line estimation of the key process variable in cold rolling mills

One of the key objectives of any rolling mill control system is to keep the thickness of the processed material within the prescribed tolerance band, which can be as low as +-10 micrometers for thin strips. Failure to comply with the tolerances results in losses which, according to experts estimate, might go up to 10% of the profit for poorly equipped rolling mills. Unfortunately, no practical direct measurement of the gauge within the rolling gap is possible. Strip thickness can be measured 50--100cm after the rolling gap with a high transport delay (20--120 samples).

Models with strictly bounded noise

A state space model is frequently used for a description of real systems. Usually, some state variables are hidden and cannot be measured directly and some model parameters are unknown. Then, the need for learning, i.e., the state filtering and parameter estimation, arises. Probabilistic models provide a suitable description of the always uncertain reality and call for such approaches as Bayesian learning. Uncertainties are standardly modelled by the Gaussian distribution. This leads to Kalman-filter-based algorithms.

Current projects:

Car transport: Fuel consumption optimization

This research project aims at optimization of fuel consumption both from the economical and ecological points of view.

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Institute of Information Theory and Automation