High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules
IEEE Transactions on Industrial Electronics
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2014
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sg-nus-scholar.10635-622812021-10-05T09:59:30Z High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules Cheok, A.D. Ertugrul, N. ELECTRICAL ENGINEERING IEEE Transactions on Industrial Electronics 46 5 904-916 ITIED 2014-06-17T06:49:22Z 2014-06-17T06:49:22Z 1999 Cheok, A.D., Ertugrul, N. (1999). High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules. IEEE Transactions on Industrial Electronics 46 (5) : 904-916. ScholarBank@NUS Repository. 02780046 http://scholarbank.nus.edu.sg/handle/10635/62281 000082944200005 Scopus |
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IEEE Transactions on Industrial Electronics |
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ELECTRICAL ENGINEERING |
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ELECTRICAL ENGINEERING Cheok, A.D. Ertugrul, N. |
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Cheok, A.D. Ertugrul, N. |
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Cheok, A.D. Ertugrul, N. High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules |
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Cheok, A.D. |
title |
High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules |
title_short |
High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules |
title_full |
High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules |
title_fullStr |
High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules |
title_full_unstemmed |
High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules |
title_sort |
high robustness of an sr motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/62281 |
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1713205665261944832 |