Model-Free Predictive Current Control for PMSMs Based on a Physics-Informed Recurrent Neural Network
Abstract: Model-free predictive current control (MFPCC) based on the ultra-local model addresses the high parameter sensitivity characteristic of conventional model predictive current control (MPCC).
Abstract: This article proposes a novel data-driven distributed recurrent neural network (DDD-RNN) based on neurodynamics principles to address the challenge of precise collaborative motion generation ...
A CLI tool that creates IP-netmask address objects on Palo Alto Networks Panorama using the pan-os-python SDK. Address objects are defined in YAML configuration files organized by device group, ...
“Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks — text and code generation, question answering, ...
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