| Title: | DC Motor Benchmark with Prediction Based on Mixture of Experts |
| Authors: | Karban, Pavel Petrášová, Iveta Doležel, Ivo |
| Citation: | KARBAN, P. PETRÁŠOVÁ, I. DOLEŽEL, I. DC Motor Benchmark with Prediction Based on Mixture of Experts. In 14th International Conference ELEKTRO, ELEKTRO 2022 : /proceedings/. Piscataway: IEEE, 2022. s. nestránkováno. ISBN: 978-1-66546-726-1 , ISSN: 2691-0616 |
| Issue Date: | 2022 |
| Publisher: | IEEE |
| Document type: | konferenční příspěvek ConferenceObject |
| URI: | 2-s2.0-85133959297 http://hdl.handle.net/11025/51328 |
| ISBN: | 978-1-66546-726-1 |
| ISSN: | 2691-0616 |
| Keywords in different language: | Brushless DC motor;analytical model;mixture of experts (MoE);Gaussian process;optimization |
| Abstract: | The Mixture of Experts (MoE)–based approach is applied to verify the possibility of using surrogate models for searching the optima of complex multicriteria problems with constraints. This approach can successfully solve problems when the design space is limited by a higher number of constraints and traditional methods of Design of Experiments (DoE) in conjunction with one surrogate model are not able to partition the design space acceptably enough for further prediction. The methodology is tested on a well-known DC motor benchmark, where the electromagnetic and temperature fields were solved analytically, in a simplified form. |
| Abstract in different language: | The Mixture of Experts (MoE)–based approach is applied to verify the possibility of using surrogate models for searching the optima of complex multicriteria problems with constraints. This approach can successfully solve problems when the design space is limited by a higher number of constraints and traditional methods of Design of Experiments (DoE) in conjunction with one surrogate model are not able to partition the design space acceptably enough for further prediction. The methodology is tested on a well-known DC motor benchmark, where the electromagnetic and temperature fields were solved analytically, in a simplified form. |
| Rights: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © IEEE |
| Appears in Collections: | Konferenční příspěvky / Conference papers (RICE) Konferenční příspěvky / Conference Papers (KEP) OBD |
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