Institute of Information Theory and Automation

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Projects

Dept.: AS Duration: 2009
Dept.: AS Duration: 2009 - 2013
This long-term applied project covers various research and development activities according to specification of the industrial partner.
Dept.: AS Duration: 2009 - 2012
The project aims to develop a novel on-line estimator of the key process variable in rolling mills by mixing multiple models with different sensitivities to inaccuracy in process data. The approach relies on the systematic treatment of uncertainty and merging of all available information.
Dept.: AS Duration: 2008 - 2011
Dynamic decision making (DM) maps knowledge into DM strategy, which ensures reaching DM aims under given constraints. Under general conditions, Bayesian DM, minimizing expected loss over admissible strategies, has to be used. Existing limitations of the paradigm impede its applicability to complex DM as: 1) Complexity of the information processing often crosses resources accessible. 2)...
Dept.: AS Duration: 2008 - 2009
Dept.: AS Duration: 2008 - 2010
Stochastic decentralized control of distributed systems is studied from theoretical and algorithmic point of view. Decentralization is formalized by imposing conditional independence assumptions in the centralized control problem. However, local models and aims are in general incompatible with this structure and a suitable projections must be found. A range of probabilistic approaches has been...
Dept.: AS Duration: 2007 - 2008
The proposed project deals with modeling and simulation of dynamic value networks, which are increasingly replacing the traditional vertically integrated enterprises. The project´s objective is to develop a stochastic model of the dynamic behavior of a value network, which would account for both the formation of a functioning network out of available nodes and the changes in performance of...
Dept.: AS Duration: 2007 - 2009
The project deals with development of the advanced techniques of assimilation of model results with observations in terrain for purposes of reliability improvement in estimation of final real state. The main objective of the applicant´s team is to utilise knowledge and experience existing in the department of adaptive systems in ÚTIA in the field of Bayesian methods and to derive their proper...