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Výsledky Soutěže o nejlepší publikaci a aplikaci ÚTIA 2012

KATEGORIE: Publikace všeobecné

1. cena

Bartels S., Kružík M.: An efficient approach to the numerical solution of rate-independent problems with nonconvex energies. In: Multiscale Model. Simul., vol. 9, No. 3, pp. 1276-1300, 2011

Brzeźniak, Z., Ondreját, M.: Weak Solutions to Stochastic Wave Equations with Values in Riemannian Manifolds. In: Communications in Partial Differetial Equations, 36: 1624-1653, 2011

Práce přihlášené do Soutěže o nejlepší publikaci a aplikaci ÚTIA 2012

(v abecedním pořadí podle prvního autora)

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.

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.

Contact:

 

News

Featured article in November issue of IEEE TPAMI - 22.09.2009
Pami logo
The IEEE TPAMI selected the article:

Filip J., Haindl M.:Bidirectional Texture Function Modeling: A State of the Art Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 11, pp. 1921-1940, Oct. 2009

as a featured article of the November issue.



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Workshop on Limit Theorems - 02.08.2009

The workshop will be held in UTIA from August 3 to August 6, 2009. The topics concern mainly the central limit theorem and invariance principles for sequences and arrays of dependent random variables. Many specialists of the field already confirmed their participation.

For more information see webpage: http://simu0292.utia.cas.cz/workshop09

We welcome you to attend the workshop.

Lucie Fajfrova (UTIA) and Dalibor Volny (Universite de Rouen, France), on behalf of the organisers.

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Research positions open - 31.10.2008
The deadline for applications already passed. The applicants will be notified via email by the 31st October.
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Uzavření poslucháren - 13.06.2008
V přednáškové místnosti č.4 začala 12.6.2008 demontáž audiovizuální techniky a místnost je tedy od tohoto data nepřístupná.

Učebna číslo 25 zůstane přístupná do středy 25.6.2008, kdy z ní bude odstěhován nábytek a zbylá AV technika.

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Geometric Aspects of Conditional Independence and Information - 13.03.2008

location: Max Planck Institute for Mathematics in the Sciences
date: March 13 - 14, 2008
www: link

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Electrical drives: sensorless control

Electrical drives are part of everyday world. While the technology for their control is well known and reliable, new challenges are comming with new technology and new requirements. The always present pressure for better reliability, safety and cost of production and operation are the driving force for inovation.

The electrical drives are also good laboratory to test new theoretical results. We apply the results of reasearch in areas of:

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Institute of Information Theory and Automation