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master's thesis
Distribuirani algoritmi za upravljanje sustavima sustava
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:612207
Živković, Vice
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Živković, V. (2017). Distribuirani algoritmi za upravljanje sustavima sustava (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:612207

Živković, Vice. "Distribuirani algoritmi za upravljanje sustavima sustava." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:612207

Živković, Vice. "Distribuirani algoritmi za upravljanje sustavima sustava." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:612207

Živković, V. (2017). 'Distribuirani algoritmi za upravljanje sustavima sustava', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:612207

Živković V. Distribuirani algoritmi za upravljanje sustavima sustava [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:612207

V. Živković, "Distribuirani algoritmi za upravljanje sustavima sustava", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:612207

Metadata
TitleDistribuirani algoritmi za upravljanje sustavima sustava
Title (english)Distributed algorithms for control of systems of systems
AuthorVice Živković
MentorMato Baotić (mentor)
Committee memberMato Baotić (predsjednik povjerenstva)
Committee memberNedjeljko Perić (član povjerenstva)
Committee memberVinko Lešić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Sustavi sustava su veliki kompleksni sustavi koji se sastoje od velikog broja distribuiranih te djelomično autonomnih podsustava. U ovom radu obrađena su dva distribuirana algoritma za upravljanje sustavima sustava. Oba algoritma se baziraju na parametrizaciji i rastavljanju glavnog optimizacijskog problema na lokalne optimizacijske probleme specifične za pojedine podsustave koji su dodatno povezani koordinacijskim ograničenjem. Lokalni problemi se rješavaju dok sustav nije u pogonu metodama više-parametarske optimizacije. Koordinacijski problem se rješava u svakom periodu uzrokovanja te se rješenje primjenjuje principom pomičnog horizonta. Razlika među metodama je u broju prijenosa podataka između između centralnog i lokalnih računala. Prva metoda rješava problem samo jednim prijenosom, a druga metoda iterativnom komunikacijom između centralnog i lokalnih računala dolazi do rješenja. Prva metoda je brža, ali manje općenitija od druge metode. Efikasnost obojih metoda je testirana na velikom broju generiranih optimizacijskih problema.
Abstract (english)
Systems of systems are large complex systems consisting of a large number of distributed and partially autonomous subsystems. In this thesis two distributed algorithms for control of systems of systems are analysed. Both algorithms are based on parametrization and decomposition of the central optimization problem into local optimization problems specific to individual subsystems which are coupled via coordination constraint. Local problems are solved offline using multi-parametric methods. The coordination problem is solved online at every time step and the solution is applied in a receding horizon fashion. The difference between the methods is in the number of data transfers between the central and local computers. The first method solves the problem with one transfer of data, while the second one solves the method through iterative communication between the local and central computers. The first method is faster, but less general than the second method. The efficiency of both methods is tested on a large number of generated optimization problems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:612207
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2019-03-14 02:27:10