Projects / Programmes
MODELLING, SIMULATION AND CONTROL OF PROCESSES
January 1, 2004
- December 31, 2008
| Code |
Science |
Field |
Subfield |
| 2.06.00 |
Engineering sciences and technologies |
Systems and cybernetics |
|
| Code |
Science |
Field |
| T125 |
Technological sciences |
Automation, robotics, control engineering |
System theory, control technology, modelling of systems, identification of systems, simulation, multivariable systems, adaptive systems, predictive control, intelligent control, supervisory systems, hybrid systems, multiagent systems, computer aided control systems design, modelling and simulation tools, industrial processes, biomedical and biopharmaceutical processes, artificial intelligence, life long learning, knowledge transfer, expert systems.
Researchers (17)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
04142 |
PhD Maja Atanasijević Kunc |
Systems and cybernetics |
Researcher |
2005 - 2008 |
339 |
| 2. |
15395 |
PhD Aleš Belič |
Systems and cybernetics |
Researcher |
2005 - 2008 |
323 |
| 3. |
16422 |
PhD Sašo Blažič |
Systems and cybernetics |
Researcher |
2005 - 2008 |
329 |
| 4. |
22483 |
PhD Dejan Gradišar |
Systems and cybernetics |
Junior researcher |
2004 - 2005 |
161 |
| 5. |
01952 |
PhD Rihard Karba |
Systems and cybernetics |
Head |
2004 - 2008 |
623 |
| 6. |
25418 |
PhD Gorazd Karer |
Systems and cybernetics |
Junior researcher |
2005 - 2008 |
152 |
| 7. |
20181 |
PhD Gregor Klančar |
Systems and cybernetics |
Researcher |
2006 - 2008 |
321 |
| 8. |
21312 |
PhD Marko Lepetić |
Mathematics |
Researcher |
2004 |
48 |
| 9. |
27517 |
PhD Vito Logar |
Systems and cybernetics |
Junior researcher |
2006 - 2008 |
212 |
| 10. |
01951 |
PhD Drago Matko |
Systems and cybernetics |
Researcher |
2004 - 2008 |
582 |
| 11. |
13565 |
PhD Gašper Mušič |
Systems and cybernetics |
Researcher |
2004 - 2008 |
455 |
| 12. |
24323 |
PhD Simon Oblak |
Systems and cybernetics |
Junior researcher |
2005 - 2008 |
54 |
| 13. |
17133 |
Milan Simčič |
|
Technical associate |
2004 - 2008 |
34 |
| 14. |
29552 |
PhD Anton Sodja |
Systems and cybernetics |
Junior researcher |
2008 |
37 |
| 15. |
10742 |
PhD Igor Škrjanc |
Systems and cybernetics |
Researcher |
2004 - 2008 |
740 |
| 16. |
28468 |
PhD Luka Teslić |
Systems and cybernetics |
Junior researcher |
2007 - 2008 |
44 |
| 17. |
00172 |
PhD Borut Zupančič |
Systems and cybernetics |
Researcher |
2004 - 2008 |
418 |
Organisations (1)
Abstract
The area of control technology has infrastructural character. Therefore it contains very diverse problem domains, wide scope of research fields and requires integral approach. At the same time the corresponding critical mass of researchers is needed as well as balanced interlacing of basic, applicative and development investigations supported with the educational activities in the sense of manifold knowledge transfer. In the world relative decrease of new methods development for control design can be observed. However, the actual intention is to push existing methods and their combinations toward practical usage. The aim of the research programme is thus in new knowledge acquisition which will enable the development of more efficient and better control systems. It will contribute also to the more effective design, at the same time ensuring also the possibilities of usage in the domestic industry. Here the knowledge exchange in all possible levels and directions plays crucial role. Some important treated problem domains contain: the area of mathematical modelling and simulation of processes where the usage of nonlinear models including also the components from the field of artificial intelligence, the possibilities of fuzzy models usage in robust control and in fault diagnosis, the investigation of biologic control loops on the genetic level, the algorithms for the simulation of hybrid systems and their transformation into different model types, object oriented modelling and simulation are studied; the area of complex control systems where methods for univariable and multivariable predictive control based on the nonlinear models, methods of adaptive control suited for industrial needs, possibilities of complex theoretical approaches combination what leads to relatively simple realization, expert system for relative efficiency of certain control design methods evaluation, possibilities of adjusting some control strategies to the concrete domains and to the standard process equipment, possibilities of artificial intelligence approaches usage in multivariable controllers design, supervisory and hybrid systems, the usage of time Petri nets for tasks scheduling in manufacturing, supervisory control and possibilities of predictive control of hybrid systems are studied; the area of multiagent systems where the mobile robot control, strategy and coordination of their operation considering nonholonomic and dynamic constraints, possibilities of predictive control of unstable nonholonomic systems control usage, possiblities of prediction in mobile robots control, in coordination of multiagent systems and in reactions to changes in the environment usage as well as, planning and optimisation of mobile robot paths are studied.
Well designed mechanisms of knowledge exchange in every sense, where a lot of experiences exist, successful research and education work and good research results transfer to practice can be foreseen taking into account also the role of actuality and attractiveness of the studied problem domains.
Significance for science
Development of science in the field of control is already through several decades characterised with a gap between theoretical findings and their transfer to practice. Similarly the appearances of new control strategies are also very rare in last times. Due to these facts, where in our case many different connections among investigations and applications exist, the main contribution is in combining the existing theoretical principles and approaches to achieve their practical usability (implementation technologies). International relevance of the proposed research is proved by the areas being defined as priority ones in the 7th framework of EU ( Information Society Technology, Embedded Systems, New Production Technologies ) and in European technology platforms (Manufuture, Embedded systems ) as well as in some programs of comparable European groups. The problem of equilibration between world trends and domestic needs is for the faculty group especially specific. Also the modern education programmes must be namely developed. Here all possible horizontal and vertical knowledge transfers are meant, taking into account the possibilities of advanced media and communication technologies. The main contributions to the science development are in the following areas: -modelling, simulation and validation of cholesterol biosynthesis and its control mechanisms, -usage of functional magnetic resonance method and EEG data to model the relation brain activity – body activity, -modelling the influence of risky life style, ageing and chronical diseases to serious diseases development, where the assessment of their appearance and healing economics were studied, -usage of fuzzy modelling and recursive identification in the control and fault detection of demanding systems, -modelling and control design of heat and light flows in buildings as well as modelling and control design of air conditioning in rooms, -usage of identification of discrete event and hybrid systems, -adaptation of the predictive control strategies to different cases in the process and manufacturing industries, -introduction of the predictive control of hybrid systems with continuous and discrete inputs, -development of intelligent mobile platform, equipped with the corresponding sensors, being capable of autonomous operation and orientation in the environment, -research of the possibilities of appropriate virtual laboratory realizations and the access to the laboratory pilot plants via internet in the frame of e – learning.
Significance for the country
The importance of control technology in Slovenia can be seen in many basic Slovenian documents proclaiming this field as the priority one. The mentioned technology has namely multiplicative effects, which significantly influence as actual factors as the energy, sources and pollution reductions, flexibility and quality of production, added value, humanization of working places, aspects of sustainable development etc. So the area of control technology represents one of the leading strategic orientations in the world, where similar is valid also for Slovenia, especially due to the current delays in this field. The research results support the increase of competitiveness of engineering enterprises and industry, enable the corresponding education and contribute to the innovative environments development. However, also the influences on health care, ecology and defence as well as the promotion effects were achieved through scientific publications, organization of meetings, workshops and courses but also through the international connections. May be the strongest influence on the Slovene development is shown by the fact that the group in cooperation with the group Systems and Control on »Josef Stefan« Institute represents the most important centre in Slovenia for the trained specialists education on the field of control technology. The groups namely produce more than half of mentioned experts in Slovenia, who are, due to different reasons, more and more wanted. Here all levels of education programmes at the Faculty of Electrical Engineering, University of Ljubljana are meant. The research results are continuously introduced into education process. According to the mentioned facts it is clear that the influence to the development of the area as well as to engineering practice is significant.
Most important scientific results
Final report,
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Most important socioeconomically and culturally relevant results
Final report,
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