Institute of Information Theory and Automation

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Dept.: AS Duration: 2000 - 2002
A novel, robust, fast, user-friendly advisory system will be delivered. It will support operators of complex processes in making decisions. The system will guide them through high-dimensional noisy heterogeneous data spaces to successful areas. It will also warn them against dangerous areas. The project will (i) complete the consistent novel probabilistic theory of dynamic adaptive clustering...
Dept.: AS Duration: 1998 - 2000
Adaptive predictors in signal processing and control are mostly based on autoregresive models with external inputs (ARX). There are, however, applications for which the liminations of ARX models might be significant. When looking for an alternative universal class of models, finite order Markov chains seem to be promising alternative. However, exponential burst of the transition-table...