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Projects / Programmes source: ARIS

Modeliranje, simulacija in vodenje procesov (Slovene)

Periods
Research activity

Code Science Field Subfield
2.06.00  Engineering sciences and technologies  Systems and cybernetics   
2.07.00  Engineering sciences and technologies  Computer science and informatics   

Code Science Field
T125  Technological sciences  Automation, robotics, control engineering 
P175  Natural sciences and mathematics  Informatics, systems theory 
T120  Technological sciences  Systems engineering, computer technology 
P176  Natural sciences and mathematics  Artificial intelligence 
S281  Social sciences  Computer-assisted education 
Evaluation (rules)
source: COBISS
Researchers (12)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  04142  PhD Maja Atanasijević Kunc  Systems and cybernetics  Researcher  2001 - 2003  339 
2.  15395  PhD Aleš Belič  Systems and cybernetics  Researcher  2001 - 2003  323 
3.  16422  PhD Sašo Blažič  Systems and cybernetics  Researcher  2001 - 2003  329 
4.  01952  PhD Rihard Karba  Systems and cybernetics  Head  2001 - 2003  622 
5.  20181  PhD Gregor Klančar  Systems and cybernetics  Researcher  2001 - 2003  319 
6.  21312  PhD Marko Lepetić  Mathematics  Researcher  2001 - 2003  48 
7.  01951  PhD Drago Matko  Systems and cybernetics  Researcher  2001 - 2003  582 
8.  13565  PhD Gašper Mušič  Systems and cybernetics  Researcher  2001 - 2003  451 
9.  19228  PhD Boštjan Potočnik  Systems and cybernetics  Researcher  2001 - 2003  26 
10.  17133  Milan Simčič    Researcher  2001 - 2003  34 
11.  10742  PhD Igor Škrjanc  Systems and cybernetics  Researcher  2001 - 2003  736 
12.  00172  PhD Borut Zupančič  Systems and cybernetics  Researcher  2001 - 2003  418 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,861 
Abstract
The aim of the research project is acquiring up to date knowledge which will be the base of high quality and more efficient control systems. So the significant improvement of the control systems design, implementation and usage will be enabled. The stated goal requires integral approach on the relatively wide range of research fields what in turn demands the corresponding critical number of coworkers. At the same time the interlacement of applicative and development projects, applied research and educational activities must be correspondingly balanced. Such program will be realized in the frame of consortium named »Technological Vertical« which was in the past ten years efficient in the knowledge transfer. The latter enabled synergetic effects in the different segments of activities. The nucleus of such approach represent two complementary programmes one of the Jožef Stefan Institute and one on the Faculty of Electrical Engineering. The research on the faculty will be oriented mainly towards: stochastic robustness studies of parametric and nonparametric control systems; evaluation of ontogenic dynamic neural models usage in comparison with the other modelling and identification methods; study of the hybrid models usability in the predictive control; presentation of the neural and hybrid model application in the concrete industrial batch process control; study of fuzzy models identification problems in the connection with predictive control of nonlinear systems; combination of methods in the control design of real processes and corresponding comparisons; introduction of artificial intelligence approaches in biomedicine and pharmacokinetic-pharmacodynamic studies of drugs; computer aided design of supervisory control systems; study of the internet usability in distance learning schemes and for the industrial processes control. From the above items it is obvious that the numerous combinations of the modern approaches in control area are foreseen with the intention to put them as near as possible to the industrial practice and at the same time to ensure also the corresponding education.
Most important scientific results Final report
Most important socioeconomically and culturally relevant results Final report
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