Paper Citation Record · LEDGER

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2602.14947.

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pith.paper-citation-record.v1
2602.14947 v3

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measured 31 of 31 reference resolution

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Outbound references

Observation 3cd70969-a0b5-480b-bdeb-34d5d741018b · outbound

This paper cites an unresolved cited work.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Unresolved cited work

Reference 1

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Observation b1820388-f284-4588-a7b4-ab8c5bda412a · outbound

This paper cites an unresolved cited work.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Unresolved cited work

Reference 2

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Observation 5089c96a-2904-4b81-af92-b117416d971f · outbound

This paper cites Die Nachbildung von Magnetisierungskurven durch einfache algebraische oder transzendente Funktionen,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Die Nachbildung von Magnetisierungskurven durch einfache algebraische oder transzendente Funktionen,

Reference 3

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Observation e0f32cc8-caf0-411b-806d-76c40f2d28d5 · outbound

This paper cites Inclusion of magnetic saturation in dynamic models of synchronous reluctance motors,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Inclusion of magnetic saturation in dynamic models of synchronous reluctance motors,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:34.323697Z

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Observation 4f6811cf-5107-4727-b4ea-30c79c0ba184 · outbound

This paper cites Analytical modeling and simulation of highly utilized electrical machines considering nonlinear effects,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Analytical modeling and simulation of highly utilized electrical machines considering nonlinear effects,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:34.423882Z

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Observation 4d83367a-eb87-4129-abcf-2b4ab638e602 · outbound

This paper cites Flux maps spatial harmonic modeling and measurement in synchronous reluctance motors,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Flux maps spatial harmonic modeling and measurement in synchronous reluctance motors,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:34.595250Z

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Observation 6cf7f778-0f0d-4c44-ae65-2a1cfb6c6ad7 · outbound

This paper cites A saturation model based on a simplified equivalent magnetic circuit for permanent magnet machines,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines A saturation model based on a simplified equivalent magnetic circuit for permanent magnet machines,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:34.734464Z

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Observation 463a7981-a2a7-4656-bfe1-bb530b2f9494 · outbound

This paper cites Flux- observer-based high-performance control of synchronous reluctance mo- tors by including cross saturation,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Flux- observer-based high-performance control of synchronous reluctance mo- tors by including cross saturation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:34.828091Z

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Observation 9ca4ea17-fdd8-443d-98ca-a93e4a165f86 · outbound

This paper cites A high-fidelity and computationally efficient model for interior permanent-magnet machines considering the magnetic saturation, spatial harmonics, and iron loss effect,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines A high-fidelity and computationally efficient model for interior permanent-magnet machines considering the magnetic saturation, spatial harmonics, and iron loss effect,

Reference 9

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Observation 5cefbcb6-ebd7-4a82-974b-9aa87fc855b3 · outbound

This paper cites Modeling of interior permanent magnet machine considering saturation, cross coupling, spatial harmonics, and temperature effects,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Modeling of interior permanent magnet machine considering saturation, cross coupling, spatial harmonics, and temperature effects,

Reference 10

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Observation 9142aae9-74b6-4682-b3d3-4e1502fce8dc · outbound

This paper cites Identification of IPMSM flux-linkage map for high-accuracy simulation of IPMSM drives,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Identification of IPMSM flux-linkage map for high-accuracy simulation of IPMSM drives,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.216769Z

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Observation 2711c2d9-4fab-4973-8ff4-ddfdb48cc19b · outbound

This paper cites The dq-theta flux map model of synchronous machines,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines The dq-theta flux map model of synchronous machines,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.320963Z

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Observation b6614e37-3a45-4aed-8152-eb33783173a6 · outbound

This paper cites Experimental identification of the dq𝜃flux maps of synchronous machines,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Experimental identification of the dq𝜃flux maps of synchronous machines,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.383057Z

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Observation 4727353a-9d2e-4fa3-907c-21d90cd3eeb3 · outbound

This paper cites Sensorless speed control of synchronous reluctance motor drives based on extended kalman filter and neural magnetic model,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Sensorless speed control of synchronous reluctance motor drives based on extended kalman filter and neural magnetic model,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.442705Z

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Observation d4e1c06d-2c6e-4d79-9bc6-5ad01bfecb26 · outbound

This paper cites RNN-based high fidelity permanent magnet synchronous motor emulator considering driving inverter switching faults,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines RNN-based high fidelity permanent magnet synchronous motor emulator considering driving inverter switching faults,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.551249Z

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Observation df661008-ae81-4dba-ba0a-ce67c9a08ef5 · outbound

This paper cites A neural-network-based electric machine emulator using neuro- fuzzy controller for power-hardware-in-the-loop testing,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines A neural-network-based electric machine emulator using neuro- fuzzy controller for power-hardware-in-the-loop testing,

Reference 16

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Observation fd07a1a3-f2d7-43a1-9f37-5490dee27748 · outbound

This paper cites Estimation of flux saturation model for SynRMs using artificial neural network,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Estimation of flux saturation model for SynRMs using artificial neural network,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.666752Z

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Observation 1f9ecbe3-8493-4994-a7b3-d0a2a226db49 · outbound

This paper cites Fast flux mapping technique for synchronous reluctance machines: Method description and comparison with full FEA and measurements,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Fast flux mapping technique for synchronous reluctance machines: Method description and comparison with full FEA and measurements,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.824516Z

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Observation 9781e1c0-7d42-4587-aebd-2a16915dbeb7 · outbound

This paper cites Experimental identification of the magnetic model of synchronous machines,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Experimental identification of the magnetic model of synchronous machines,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:35.989968Z

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Observation 3b7fb974-fd61-4532-a905-0fc205c422f1 · outbound

This paper cites Sensorless self-commissioning of synchronous reluctance motors at standstill without rotor locking,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Sensorless self-commissioning of synchronous reluctance motors at standstill without rotor locking,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:36.076787Z

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Observation 6446340f-9f28-42c1-9235-144a68fdc6c7 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 21

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Observation 4799b1bd-c5df-46f9-8854-836f120892d3 · outbound

This paper cites Lagrangian Neural Networks.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Lagrangian Neural Networks

Reference 22

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Observation f7dc39ba-b038-46bc-8055-893b3ed1dee8 · outbound

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Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Hamiltonian neural networks,

Reference 23

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This paper cites Port-Hamiltonian neural networks for learning explicit time-dependent dynamical systems,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Port-Hamiltonian neural networks for learning explicit time-dependent dynamical systems,

Reference 24

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Observation 0608a3d5-be26-40d2-8a69-9359d10b44f4 · outbound

This paper cites van der Schaft and D.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines van der Schaft and D

Reference 25

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Observation 44dfcc4a-9e54-46d3-8fad-d67d75346605 · outbound

This paper cites Gradient networks,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Gradient networks,

Reference 26

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Observation c379969f-36c2-4d5d-9911-ccdab21c2050 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:37.242148Z

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Observation 24d52ee1-1117-43c9-8b24-d9e431c8c452 · outbound

This paper cites Squareplus: A Softplus-Like Algebraic Rectifier.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Squareplus: A Softplus-Like Algebraic Rectifier

Reference 28

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Observation d3f0555c-ad29-41a2-bccf-4cae849c0a5d · outbound

This paper cites Design framework for sensorless control of synchronous machine drives,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Design framework for sensorless control of synchronous machine drives,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:37.436636Z

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This paper cites Direct flux vector control of synchronous motor drives: Accurate decoupled control with online adaptive maximum torque per ampere and maximum torque per volts evaluation,.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Direct flux vector control of synchronous motor drives: Accurate decoupled control with online adaptive maximum torque per ampere and maximum torque per volts evaluation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:37.495844Z

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Observation 7fe8304a-a9c9-4f86-917b-f390081cfa4c · outbound

This paper cites Hamiltonian Neural Networks.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Hamiltonian Neural Networks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T23:06:36.748661Z

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