prikaz prve stranice dokumenta Decentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu
No public access
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

Institutional repository: FER Repository

Cite this document

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

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

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

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 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:263159

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 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:263159

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

Metadata
TitleDecentralizirana metoda za planiranje razmjene energije u multi - robotskom sustavu
Title (english)Decentralized approach to energy exchange in multi - robot systems
AuthorSara Boljunčić
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (predsjednik povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
Committee memberNikola Mišković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-21, 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)
Languageenglish
URN:NBNurn:nbn:hr:168:263159
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2018-02-06 07:57:32