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Automatic Control Research Group, University of Banja Luka (Bosnia & Herzegovina)

Automatic Control Research Group, University of Banja Luka (Bosnia & Herzegovina)
Organisation: Chair of Automatic Control, Faculty of Electrical Engineering, University of Banja Luka
Country: Bosnia and Herzegovina
Contact person(s): Prof. Milorad Bozic
Position: Professor
Phone: +38751221879
Who we are: 

We took a part in few international and national scientific projects devoted to e-Infrastructure development, grid site operation, implementation and monitoring, control of industrial processes, robot control and robot vision, adaptive  and neural network identification and control. Through the various projects and cooperation with industry we have established control system laboratory, equipped with benchmark process models and standard industrial control system environment.

Expertise areas:  Robots ,  Wireless sensors ,  Monitoring and Control Networks ,  Adaptive control ,  Neural ,  Genetic Algorithms
Main achievements:
  • Establishment of a cross-border link between UoBL, ETF and through the SEEREN2 backbone network to GEANT.
  • Development, implementation, operation and upgrade of the grid infrastructure
  • Alternative implementation of grid Service Availability Monitoring platform
  • Adaptive control and identification
  • Robot control and robot vision
International experience:
Collaboration interest:
  • R&D Projects under FP7-ICT,
  • Joint scientific and industrial R&D projects
Scientific publications:
  • Mihajlo Savić, Milorad Božić, “SEE-GRID-SCI Implementation of grid Service Availability Monitoring – BBmSAM”, TELFOR, Beograd, 2009
  • M.Savić, Milorad Božić, “Use of Artificial Neural Networks for Monitoring of the BBmSAM System”, Proc. of the INDEL 2010, pp. 288-292, Banja Luka 2010.
  • M. Savic, S. Gajin, M. Bozic, “SNMP Based Grid Infrastructure Monitoring System”, MIPRO 2011, Proceedings of the 34th International Convention, pp. 260-264, 2011.
  • I. Krčmar, P. Marić, M. Božić, „A Class of Neural Adaptive FIR Filters for Complex-Valued Load Prediction”, The Proceedings of the 10th  Symposium on Neural Network Applications in Electrical Engineering NEUREL-2010, pp.37-39, Belgrade, 2010
  • P. Maric, V. Djalic, “Choice of Window Size in Calibrating the Geometry of Manipulators Based on the Regions Corelation“, Electronics, vol. 15, No. 1, pp. 45-53, 2011.
  • Đalić V., Marić P., “Reliable automatic recognition of manipulator’s end-effector using robot vision”, Proc. of International Scientific Conference UNITECH’11, pp. 564-568, 2011.
  • Marić P., Đalić V., “Automatic detection of robots’ manipulator end-effector position using SIFT algorithm”, Proc. of  the 22nd International DAAAM Symposium, pp. 1581-1582, 2011.
  • Petar Marić, Computer Vision Systams for the Enhancement of Industrial Robots Flexibility, FACTA UNIVERSITATIS, Series: Automatic Control and Robotics, Vol.10, No 1, pp. 1 – 18, 2011
Additional information:

Number of researchers: 7



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