Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu

Boljunčić, Sara

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master's thesis

Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:263159

Boljunčić, Sara

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Boljunčić, S. (2016). Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:263159

MLA 8th Edition

Boljunčić, Sara. "Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:263159

Chicago 17th Edition

Harvard

Boljunčić, S. (2016). 'Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:263159

Vancouver

Boljunčić S. Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 December 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:263159

IEEE

S. Boljunčić, "Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:263159

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:263159

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Metadata

Title	Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu
Title (english)	Decentralized approach to energy exchange in multi - robot systems
Author	Sara Boljunčić
Mentor	Stjepan Bogdan (mentor)
Committee member	Stjepan Bogdan (predsjednik povjerenstva)
Committee member	Zdenko Kovačić (član povjerenstva)
Committee member	Nikola Mišković (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2016-07-21, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering
Abstract	Razmjeni energije u multi-robotskom sustavu pristupa se kreiranjem rasporeda punjenja između agenata. Ovaj rad istražuje dva pristupa kreiranju rasporeda. Prvi pristup je decentralizirano generiranje rasporeda uz pomoć TAEMS jezika. Agenti u sustavu razmjenjuju podatke i pronađena rješenja rasporeda. Konačno rješenje je ono oko kojeg se svi agenti usuglase. Drugi pristup je centralizirana verzija. Izabrani agent sudjeluje u pronalaženju rješenja pomoću metaheurističkog algoritma. Od tri testirana algoritma, Simulirano Kaljenje je pokazalo najbolje rezultate i izabrano je kao glavni algoritam. Implementirana je i decentralizirana verzija drugog pristupa gdje je izabrano više početnih rješenja i više agenata koji pronalaze optimalno rješenje uz pomoć simuliranog kaljenja. Decentralizirana metoda drugog pristupa je pokazala najbolje rezultate kod izrade rasporeda.
Abstract (english)	Energy exchange in a multi-robot system is managed by creating a schedule of charging between agents. This thesis explores two approaches to the schedule creation. The first approach is a decentralized schedule generation with TAEMS. Agents in the system interchange information and solutions and the final solution is the one all agents agree on. The second approach is a centralized version. The chosen agent calculates the scheduling solution using a metaheuristic algorithm. Simulated Annealing is the best of the three algorithms tested and is the most suitable for the system. A decentralized version of this approach uses more starting solutions and calculates the result on multiple agents. The solution with the lowest cost is chosen as the best. This decentralized approach showed better results than the centralized one.
Keywords
Keywords (english)
Language	english
URN:NBN	urn:nbn:hr:168:263159
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Closed access
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Repository	FER Repository
Created on	2018-02-06 07:57:32