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.

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.

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).

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.

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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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:

successfully completed his PhD studies at Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering. On 24th February 2012 he defended his doctoral thesis "Probabilistic Compositional Models: solution of an equivalence problem" and he was awarded a Ph.D. degree in Mathematical Engineering.

Ústav jaderného výzkumu Řež a.s. a Česká nukleární společnost ocenily disertační práci s názvem "Application of Advanced Data Assimilation Methods in Off-site Consequence Assessment" Ing. Radka Hofmana, Ph.D. cenou za 1. místo v soutěži disertačních prací v jaderných oborech.

Elsevier – Science Direct

Securing SQL Server
Cherry, Denny
ISBN: 9781597496254

Numerical Methods and Optimization in Finance
Gilli, Manfred
ISBN: 9780123756626



Wiley – Wiley online library

Concepts & Methods of Decision-Making