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Projects / Programmes source: ARIS

Synergetics of complex systems and processes

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Periods
January 1, 2015 - December 31, 2019
Research activity

Code Science Field Subfield
2.21.00  Engineering sciences and technologies  Technology driven physics   
2.10.00  Engineering sciences and technologies  Manufacturing technologies and systems   

Code Science Field
T000  Technological sciences   

Code Science Field
1.03  Natural Sciences  Physical sciences 
Keywords
Synergetics, technological processes, complexity, empirical modelling, signal processing, automatic diagnostics, optimization, forecasting, predictive control, adaptive systems, laser material processing, metal droplets, ensembles-based data clustering, information-theoretical measures
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (17)
no. Code Name and surname Research area Role Period No. of publications
1.  02272  PhD Andrej Dobnikar  Computer science and informatics  Retired researcher  2015 - 2019  0 
2.  08782  PhD Edvard Govekar  Manufacturing technologies and systems  Head  2015 - 2019  0 
3.  00800  PhD Igor Grabec  Computer science and informatics  Retired researcher  2019  8 
4.  31379  PhD Nejc Ilc  Computer science and informatics  Researcher  2017 - 2019  0 
5.  20270  PhD Andrej Jeromen  Computer science and informatics  Researcher  2015 - 2019  0 
6.  38155  PhD Matjaž Kotar  Technology driven physics  Junior researcher  2015 - 2019  0 
7.  32085  PhD Blaž Krese  Computer intensive methods and applications  Researcher  2015 - 2019  0 
8.  34409  PhD Alexander Kuznetsov  Technology driven physics  Researcher  2015 - 2018  0 
9.  16109  PhD Uroš Lotrič  Computer science and informatics  Researcher  2015 - 2019  0 
10.  53508  Jaka Peternel  Technology driven physics  Junior researcher  2019  0 
11.  53795  Tanja Plestenjak    Technical associate  2019  0 
12.  15107  PhD Primož Potočnik  Computer science and informatics  Researcher  2015 - 2019  0 
13.  25480  PhD Nataša Sirnik  Mechanics  Researcher  2019  0 
14.  33385  PhD Davor Sluga  Computer science and informatics  Researcher  2018 - 2019  0 
15.  14300  PhD Branko Šter  Computer science and informatics  Researcher  2015 - 2019  0 
16.  39190  PhD Ragunanth Venkatesh  Mechanics  Junior researcher  2017 - 2019  0 
17.  50588  Ana Vidergar  Technology driven physics  Junior researcher  2017 - 2019  0 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0782  University of Ljubljana, Faculty of Mechanical Engineering  Ljubljana  1627031  0 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  0 
Abstract
The optimization of existing as well as the development of new technologies and processes with complex and time-varying properties requires an understanding of the mutual nonlinear interactions which can often lead to instabilities and even chaos, and are reflected in the corresponding temporal spatial structures . Consideration of such processes is the subject of a number of intensive scientific investigations in which we are involved within the framework of the research program 'Synergetics of complex systems and processes', (attachmet Fig. 1.).    Synergetic considertion is based on the application of advanced methods of probability and statistics, information theory, chaotic dynamics, soft computing, data mining, adaptive empirical modelling, machine learning, methods of optimization and predictive control. Synergetics methods have proved to be a very useful and scientifically correct approach for describing complex systems and processes. For this reason the research is focused on the further development and application of synergetic methods for the description and characterization of the complexity of technological processes, as well as for the empirical characterization and modelling, optimisation, forecasting, and predictive control of complex processes and systems. The main aim of the research program is to contribute to world science in the description and understanding of complex technological processes. To this end, basic research into the dynamic phenomena occurring in technological systems and processes, the development of new and the adaptation and use of existing advanced non-linear methods of signal analysis, adaptive information processing, and the predictive control of processes are foreseen. The acquired knowledge will be applied in the improvement of existing and development of new technological processes, and in the development of information and adaptronic systems for automated monitoring, as well as for the characterization, diagnostics, optimization and control of complex technological systems, processes, loaded materials and products. Synergetic research into the forecasting and predictive control of processes will be of central importance. Special attention will also be given to the application of the methods of synergetics to research into laser material processing. Within the context of this research, intensive investigations into the processes involved in the laser generation and deposition of metal droplets will be performed, which has promising potential applications in the field of the implementation of micro-joints which have to operate in demanding environments, and 3D prototyping by means of the selective deposition of droplets. Attention will also be directed to the upgrading of ensemble based data clustering methods, which are based on quality indicators and selection of the relevant features in the data, based on generalized information-theoretical measures. Since the latter calculation is highly complex, it will be implemented using the modern parallel architectures OpenCL and CUDA (for graphics processors).
Significance for science
The main focus of the research is on the development and application of synergetic methods in order to describe complex technological processes with the aim of contributing to the understanding and description of the physical properties, dynamics and causes of complexity of technological processes. The proposed research program makes a significant contribution to the further establishment of synergetic methods as a successful scientific approach, thus bringing together the fields of physics, probability and statistics, informatics and technical sciences in terms of the theoretical and experimental treatment of complex systems and processes. The latter is of paramount importance in the understanding of the physical properties, in the modelling of dynamic processes, and in the understanding of the causes of complexity of technological processes, as well as ultimately for the development of new advanced technological processes. Thus an active contribution is made to the advancement of science in the field of the description, characterisation and modelling of dynamics of complex technological processes. The importance of the synergetic approach for the description of complex technological systems and processes is confirmed by the high citations of the published results of the programme leader and the programme research group in the international scientific journals. Within the context of the proposed research, topics which are related to the instability of manufacturing processes are considered. Investigations of cutting process instabilities and of annular laser beam material processing have been focused on. Special attention is paid to research of annular laser beam applications for advanced material processing, where the focus will be on the development of this application to the circular joints of wires and thin wall tubes of small diameter, and the generation and deposition of metal droplets. The expected results will be of great importance in the development of science in the field of annular laser beam – matter interaction and annular laser beam material processing, as well as in the field of droplet based manufacturing technologies - including new technologies for droplet based micro-joining and 3D structuring. Additionally the expected results of investigations into high temperature droplets interactions with the substrate surfaces of advanced materials will be treated, which will be of high importance for material science in general, and in particular for the fields of joining and additive manufacturing technologies. In the field of the research and development of predictive methods for the analysis and prediction of time series and fields, a contribution will be made to the development of specific methods for given application domains (various energy, business, transport systems, etc.), thereby contributing to the development of science both in terms of the basic development of methods, as well as in the terms of the application of the developed methods and models to the target domain areas. Particular attention is focused to the synergetic treatment of various methods (neural networks, support vector machines, extreme learning machines, the aggregation of predictors, adaptive forecasting, forecasting with computational intelligence, hierarchical forecasting, etc.) by combining and connecting them together into uniform functional predictive systems for forecasting of the states of complex systems and processes.    The selection of relevant features in the data based on generalized information-theoretical measures is, due to the promising results obtained, increasingly popular, especially in the case of large data sets. Additionally, data clustering based on ensembles is of one of the most currently interesting approaches in machine learning. Due to high interest in all areas of data analysis, improvement of these methods is important for the development of information science in the field of machine learning, data st
Significance for the country
Direct importance of the program for the economy and social activities The research program involves the improvement and optimization of existing technologies and methods, as well as the development of new such approaches with the possibility of direct implementation in a variety of industries, which has been recently confirmed by extensive collaboration with industrial partners. The results of the research, which involves the development of predictive methods for the analysis and prediction of time series and fields, the development of multisensory data processing methods and intelligent adaptronic systems for monitoring, modelling, optimization and control of complex processes, and methods for the non-destructive testing and characterization of loaded materials and products, is directly aimed at the monitoring and improving of the quality of products, technological and industrial processes. Our investigations and applications of forecasting methods in the development of systems for the prediction and optimization of states of complex energetic, traffic and business systems, which are essential for the consistent and sustainable development of society, need to be emphasized. On the basis of previous successful results of the implementation of developed predictive methods into industrial and business environments we plan to expand into new areas of application (e.g. expansion of the system for short-term forecasting of natural gas consumption also in the field of forecasting of heat consumption in district heating systems). Herewith we contribute to the success and competitiveness of enterprises in the complex modern business conditions. Research into synergetics, which includes research into the instability of technological processes and the development of new methods for annular laser material processing, including technology for the generation and deposition of metal droplets, is potentially applicable in the implementation of complex lead-free micro-joints, fulfilling demanding temperature, corrosion, mechanical and environmental requirements. Research and development of annular laser and droplet based micro joining technologies and 3D structuring represents a significant development potential for the electrical and electronics industries, and the aircraft and aerospace industry, as well as for companies which produce functionally demanding components. Using these skills it will be possible to introduce into the domestic and international industrial environment new scientifically-based methods for the treatment and improvement of technological processes and products, thus contributing to the international competitiveness of Slovenian and European industry. Indirect importance to society Through participation in international scientific meetings and the publication of scientific papers in international high-quality journals Slovenian science, and the visibility of Slovenia within the international arena, is promoted. By recruiting and training young researchers from other countries, as well as through the scientific exchange of researchers, we are involved in the international division of labour. All contents of the research program are regularly included in the courses of levels I, II and III of the Bologna process, so that we contribute to the education and transfer of those learning materials which are needed to be able to understand and solve complex industrial problems. Scientific knowledge arising from the operation of the program group is lectured on in the courses on Chaotic dynamics, Neural Networks and the Empirical Modelling and Characterization of Processes, as well as within the context of international programs for the level II degrees EUREHO and TRIBOS. Importance for the development of the profession and engineering practice The results of the research contribute to the practical aspects of the application of knowledge in the field of the treatment of complex systems and processes, as well as to the tr
Most important scientific results Annual report 2015, interim report, final report
Most important socioeconomically and culturally relevant results Annual report 2015, interim report, final report
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