P2-0219 — Annual report 2010
1.
Method and circuit for reducing noise when measuring intensity of electric current

In cooperation with enterprise IDS microelectronic system was developed for which the patent was granted ( international and slovenian patent ). It solves the problem of sampling noise by suppressing it using a control subsystem. Next achievement represents the automatically controlled voltage supply, which is realised as a subsystem of microelectronic circuit. The patent was granted in Slovenia and international applications are pending. The system is especially suitable for the supply systems for contactless readers in RFID systems.

F.32 International patent

COBISS.SI-ID: 7497556
2.
Report on the research stay at University of Siegen in the frame of Alexander von Humboldt research grand

Alexander von Humbold research award for research stay at University of Siegen, Germany for year 2009. The research of supervised hierarchical clustering in idenitifcation of the nonlinear systems.

B.05 Guest lecturer at an institute/university

COBISS.SI-ID: 7634004
3.
Modelling in systems biology, neurology, and pharmacy

In neurology and pharmacokinetics, the systemic paradigm was already well accepted, while other areas of bio-medicine were more or less accepting the reductionism paradigm where systems were studied through the analysis of its isolated sub-systems. Mathematical modelling, as one of the principal tools of control engineering, is now becoming necessary tool also in the analysis of biological systems.

B.04 Guest lecture

COBISS.SI-ID: 6925908
4.
Physical modelling : some experiences from education and applications.

In the invited lecture some aspects of physical modelling were discussed. The main focus was given to the experinces with physical modelling in education and practical applications.

B.04 Guest lecture

COBISS.SI-ID: 7882324
5.
Fuzzy model based fault detection in waste-water treatment plant.

In the chapter a fuzzy models are used for fault detection in waste-water treatment plants. A fuzzy model describes the relation between the output variable of the process and the other measured variables that influence the operation of the of wastewater treatment plant, i.e., the output variable. The Takagi-Sugeno formulation is used, which is also the most common formulation for fuzzy models. The obtained fuzzy model works in a broad operating range of the wastewater treatment plant and enable the fault detection in the case of malfunctioning.

F.10 Improvements to an existing technological process or technology

COBISS.SI-ID: 7724884