Czech
EnglishPro všechny
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.
Seminars MTR department
| Nadpis | Date&Time |
|---|---|
| Analysis of DNA Mixtures with Artefacts | 18.06.2013 - 14:00 |
| Estimation and tests under L-moment condition models and applications to radar detection | 08.04.2013 - 14:00 |
| Accumulation Points of the Iterative Proportional Fitting Procedure | 25.02.2013 - 14:00 |
| Nonparametric Estimation of Phylogenetic Tree Distributions | 11.09.2012 - 11:00 |
| Measure concentration minischool | 21.08.2012 - 09:00 |
| Maximizing the information divergence | 01.10.2010 - 14:30 |
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:
Plán seminářů
| 4.2. | Miroslav Kárný |
| 4.3. | Ondřej Tichý |
| 8.4. | Václav Šmídl |
| 6.5. | Vladimíra Sečkárová |
| 3.6. | Ladislav Jirsa |
| 2.9. | Petr Pecha |
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:
Ebooks zakoupené naší knihovnu
Elsevier – přístupné přes Science Direct
Securing SQL Server
Cherry, Denny
ISBN: 9781597496254
Numerical Methods and Optimization in Finance
Gilli, Manfred
ISBN: 9780123756626
Wiley – přístupné přes Wiley online library
