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Institute of Information Theory and Automation
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Adaptive Systems - list of projects
Department: AS
Duration: 2013
- 2015
Grantor: MSMT
The project is aimed to bring a novel type of monitors of the overall control system condition based on hierarchical assessment of its components. The idea combines mathematical models of system's inner relations and priors on components reliability by using a consistent probabilistic approach.
Department: AS
Duration: 2012
- 2014
Grantor: MSMT
Department: AS
Duration: 2012
- 2014
Grantor: GACR
Differential equations form a tool that is frequently used for describing a great variety of dynamical systems.
The developed theory of differential equations gives a possibility to study different kinds of processes like those with a finite number of degrees of freedom (ordinary differential equations), systems with distributed
parameters (partial differential equations), systems with memory (d
Department: AS
Duration: 2011
- 2014
Grantor: TACR
The aim of this project is to create, verify and hand over to the industrial partner a prototype of a small urban traffic control system with an open interface. The control system is inspired by an existing macroscopic state-space model of an urban transportation network, that has been tested in real traffic conditions in winter 2010.
Department: AS
Duration: 2011
- 2013
Grantor: TACR
The project deals with control algorithms directed at optimization of fuel consumption in vehicles from economical/ecological point of view. Bayesian methodology is used.
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
- 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: 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: 2009
- 2013
Grantor:
This long-term applied project covers various research and development activities according to specification of the industrial partner.
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: 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: 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: 2007
- 2008
Grantor:
The proposed project deals with modeling and simulation of dynamic value networks, which are increasingly replacing the traditional vertically integrated enterprises.
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