Odjel za upravljačke sustave

Odjel za upravljačke sustave - Teorija, projektiranje i primjena upravljačkih sustava. Obuhvaća komponente i integraciju ovih komponenata što je potrebno za konstrukciju ovakvih sustava. Riječ „sustav“ koja je ovdje upotrijebljena bit će interpretirana tako da uključi fizičke, biološke i organizacijske subjekte kao i kombinaciju koja može biti zastupljena pomoću matematičke simbolike. Interesno područje će sadržavati znanstvene, tehničke, industrijske ili neke druge aktivnosti koje doprinose ovom području ili koristiti tehnologiju ili proizvode iz ovog područja.

Odjel ima studentske ogranke u Osijeku, Rijeci i Zagrebu. 
Vodstvo odjela
Mandat do 31. 12. 2021.
Mato Baotić
predsjednik
Jadranko Matuško
dopredsjednik

Predavanje: "OSQP: An operator...

IEEE Hrvatska sekcija, Odjel za upravljačke sustave, ACROSS CoE - Centre of Excellence for Autonomous and Cooperative Robotic Systems i ZCI-DATACROSS Vas pozivaju na predavanje

 

 

"OSQP: An operator splitting solver for quadratic programs"

 

 

koje će održati Goran Banjac, D.Phil. candidate, University of Oxford, Ujedinjeno Kraljevstvo.

 

Predavanje će se održati u srijedu, 7. veljače 2018. s početkom u 10:00 sati u prostoriji C09-01 (seminar Zavoda za automatiku i računalno inženjerstvo) na Fakultetu elektrotehnike i računarstva. Više informacija o predavaču i predavanju možete naći u nastavku obavijesti.

Abstract:

Quadratic programs are a class of convex optimization problems which arise in numerous applications. Although interior-point methods can in principle solve these problems efficiently, they may become intractable for solving large-scale problems or be unsuitable for real-time embedded applications. Iterations of operator splitting methods are relatively simple and computationally inexpensive, which makes them suitable for these applications. We present OSQP, a general-purpose solver for quadratic programs based on operator splitting. The solver is very robust, is able to detect infeasible problems, and has been extensively tested on many problem instances from a wide variety of application areas. Our open-source C implementation has a small footprint, is library-free, and supports factorization caching and warm starting making it particularly efficient when solving parametrized problems arising in control, finance and machine learning.

 

CV:

Goran Banjac received the B.Sc. and M.Sc. degrees in electrical engineering from the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia, in 2011 and 2013, respectively. He was working as a research assistant at the Department of Control and Computer Engineering at the same University in 2013 and 2014. He is currently pursuing a D.Phil. degree in control engineering at the University of Oxford under the supervision of Prof. Paul Goulart. In 2016 he spent three months at Stanford University in the group of Prof. Stephen Boyd. His research interests include mathematical programming, optimal control, and numerical algorithms for high-speed and large-scale optimization.

Autor: Mato Baotić
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