Abstract: This paper proposes an online parameter estimation method based on a discrete-time dynamic model for the interior permanent-magnet synchronous motors (IPMSMs). The proposed estimation ...
Abstract: Recent advancements in scaling pre-trained language models have led to significant performance improvements across various tasks. Yet, adapting these large models poses substantial ...
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