Synchronous reluctance machine optimization based on reduced set of geometric parameters with improved convergence and robust geometric feasibility verification
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:932677
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 28 March 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 March 28] 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