doctoral thesis
Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification

Ban, Branko
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electric Machines, Drives and Automation

Cite this document

Ban, B. (2022). Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:932677

Ban, Branko. "Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:932677

Ban, Branko. "Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:932677

Ban, B. (2022). 'Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:932677

Ban B. Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:932677

B. Ban, "Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:932677

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