Institute of Information Theory and Automation

Department of Adaptive Systems

Logo of DAS Head of the Department:
Tatiana Valentine Guy

Deputy head of the Department:
Miroslav Kárný

Věra Králová

phone: +420 286 890 420
staff: people, Ph.D. students, alumni
List of publications, courses, projects

The Department of Adaptive Systems focuses predominantly on the design of decision-making systems, which modify their behavior according to the changing properties of their environment. This essential ability – adaptivity – enhances their efficiency. Decades of research have brought a number of conceptual, theoretical, algorithmic, software and application results. The applicability of adaptive systems is currently being extended toward complex scenarios by improving the classical adaptive systems and by developing their new versions.

The departmental “know-how” serves to resolve national as well as international research projects, running in collaboration with industry and government agencies. The interplay between theory and limited computing power is the common issue linking the various project domains. They include traffic control, management and control of technological systems, radiation protection, nuclear medicine, analysis of financial data, electronic democracy, etc. The increasing complexity of the problems addressed directs the main stream of the research toward decentralized control of large-scale systems and normative decision-making with multiple participants.


Last events:

Pavel Hrabák from Adaptive Systems has successfully defended his PhD thesis "Microstructure of Cellular Models of Systems with Social Interaction".


Ondřej Tichý from Adaptive systems has been awarded the 1st place in the 7th annual Rektorys competition in applied mathematics organized by Department of mathematics, FSv ČVUT, for the work "On Sparsity in Bayesian Blind Source Separation for Dynamic Medical Imaging".

The project proposal "Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling" was ranked as the second best of 389 proposals submitted within Czech-Norwegian Research Programme and awarded the grant. Congratulations! 

Responsible for information: AS
Last modification: 16.05.2014
Institute of Information Theory and Automation