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
(v abecedním pořadí podle prvního autora)
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.
|Tropical Limits of Probability Spaces. Entropy and Beyond||24.10.2016 - 14:00|
|Hidden Conflict of Belief Functions / Skrytý konflikt domněnkových funkcí||17.10.2016 - 14:00|
|Handling multidimensional probability tables by means of Kruskal-form tensors||07.12.2015 - 14:00|
|Some Results and Problems in the Theory of Fisher Information||23.11.2015 - 14:00|
|Nash Equilibrium in Pay-as-bid Electricity Market||02.11.2015 - 14:00|
|Lattices of functional dependences||31.08.2015 - 14:00|
|Multilinear Secret-Sharing Scheme||18.08.2015 - 14:00|
|Reasoning about uncertain conditionals||10.08.2015 - 14:00|
|Consonant Conflicts between Belief Functions||01.06.2015 - 14:00|
|Shepley's and Partially-Shapley's Axiomatics with Restricted Symmetry||20.10.2014 - 14:00|
|Algorithmic game theory and games with a low Price of Anarchy||29.09.2014 - 14:00|
|Solving Two-Player Extensive-Form Games: Algorithms and Compact Strategy Representation||22.09.2014 - 14:00|
|Points and Lines in Metric Spaces||12.05.2014 - 14:00|
|Graphical modeling of biological pathways||23.09.2013 - 14:00|
|Integer Programming for Bayesian Network Structure Learning||02.09.2013 - 14:00|
|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|
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.
This research project aims at optimization of fuel consumption both from the economical and ecological points of view.