Institute of Information Theory and Automation

You are here

Adaptive Systems - list of projects

Department: AS Duration: 2011 - 2014 Grantor: GACR
The aim of this project is to explore new directions in diagnostics, control and parameter identification strategies of ac electric drives under critical operating conditions. Main attention will be paid to sensorless drive control and estimation in standstill and low speeds. We propose to explore suitability of methods from Bayesian identification and stochastic control in this area.
Department: AS Duration: 2010 - 2011 Grantor:
Many engineering systems can be characterised as complex since they have a nonlinear behaviour incorporating a stochastic uncertainty. Urban traffic systems or traffic pollution propagation models are typical representatives of such complex systems. One of the most appropriate methods for modelling such systems is based on the application of Gaussian processes.
Department: AS Duration: 2010 - 2013 Grantor: MV_CR
Cílem projektu je zavedení moderního programového systému HARP a jeho asimilačního subsystému ASIM do praxe. Je určen pro podporu krizového řízení při zvládání následků mimořádných průmyslových nehod a havárií spojených s únikem radioaktivního znečistění do životního prostředí.
Department: AS Duration: 2009 Grantor:
Department: AS Duration: 2009 - 2012 Grantor: MSMT
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.
Department: AS Duration: 2009 - 2013 Grantor:
This long-term applied project covers various research and development activities according to specification of the industrial partner.
Department: AS Duration: 2008 - 2010 Grantor: GACR
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.
Department: AS Duration: 2008 - 2009 Grantor:
Department: AS Duration: 2008 - 2011 Grantor: GACR
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.
Department: AS Duration: 2007 - 2008 Grantor:
The proposed project deals with modeling and simulation of dynamic value networks, which are increasingly replacing the traditional vertically integrated enterprises.
Department: AS Duration: 2007 - 2009 Grantor: GACR
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.
Department: AS Duration: 2006 - 2008 Grantor: GACR
The proposed project deals with urban traffic feedback control systems. The general objective of the project is the enrichment of the complete design line of LQG controllers so that it will cover steps related to state estimation, ideally with mixed-type (continuous and discrete) states.
Department: AS Duration: 2006 - 2009 Grantor: MSMT
Knowledge elicitation from extensive data files inevitably reduces the extracted information content. Results always serve to a subsequent, often dynamic, decision making. Its quality depends critically on the reduction made.
2018-08-02 13:59