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Paper Citation Record · LEDGER

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.12736.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.12736 v2

Coverage vector

measured 46 of 46 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:16.148071Z

measured 46 of 46 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

46 of 46 outbound references displayed

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Outbound references

Observation 1c935aaa-bba7-4604-8ced-7594e91bad4f · outbound

This paper cites Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches; John Wiley & Sons: Hoboken, NJ, USA, 2006.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches; John Wiley & Sons: Hoboken, NJ, USA, 2006

Reference 1

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Observation 07b2fb70-2b1b-41d9-9842-eba669c12e80 · outbound

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Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Unresolved cited work

Reference 2

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Observation bf7174a8-5e4a-4c6c-998e-90ee42833e4b · outbound

This paper cites Estimation of the minimum mean square error of prediction.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Estimation of the minimum mean square error of prediction

Reference 3

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Observation fd0d7fab-b509-4b4a-be83-71f56a5e76d4 · outbound

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Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Unresolved cited work

Reference 4

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Observation f85c76f9-7a80-466e-91ac-68e17ce316e2 · outbound

This paper cites New extension of the Kalman filter to nonlinear systems.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine New extension of the Kalman filter to nonlinear systems

Reference 5

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Observation ff4c97f0-7a6e-42bd-89e1-07a0fa76267a · outbound

This paper cites Constrained linear state estimation—A moving horizon approach.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Constrained linear state estimation—A moving horizon approach

Reference 6

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Observation 81746d07-d1c2-4266-99e0-66b00d375e30 · outbound

This paper cites Spacecraft Attitude Estimation and Sensor Calibration Using Moving Horizon Estimation.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Spacecraft Attitude Estimation and Sensor Calibration Using Moving Horizon Estimation

Reference 7

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Observation 456efe59-9403-464d-bd88-98cd050c9380 · outbound

This paper cites Humanoid state estimation using a moving horizon estimator.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Humanoid state estimation using a moving horizon estimator

Reference 8

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This paper cites Zero-Order Moving Horizon Estimation.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Zero-Order Moving Horizon Estimation

Reference 9

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Observation 740307a2-a89b-4da0-8bf9-bae048995fb5 · outbound

This paper cites Zero-order moving horizon estimation for large-scale nonlinear processes.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Zero-order moving horizon estimation for large-scale nonlinear processes

Reference 10

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Observation 9fdd8641-1867-41b7-b698-edbf43fb0e0c · outbound

This paper cites Moving Horizon Estimation for Inertial Motion Tracking : Algorithms and Industrial Applications.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Moving Horizon Estimation for Inertial Motion Tracking : Algorithms and Industrial Applications

Reference 11

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Observation 2fbc831f-c45a-48a5-ab36-9d6d05be1230 · outbound

This paper cites Moving Horizon Estimation.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Moving Horizon Estimation

Reference 12

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This paper cites Data Assimilation: Methods, Algorithms, and Applications.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Data Assimilation: Methods, Algorithms, and Applications

Reference 13

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Observation a7465281-9b0c-4967-8b5b-bad71cb03b7a · outbound

This paper cites Data-Driven Science and Engineering ; Cambridge University Press: Cambridge, UK, 2019.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Data-Driven Science and Engineering ; Cambridge University Press: Cambridge, UK, 2019

Reference 14

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Observation 70e8d631-68cc-4437-947b-fc89366c6b19 · outbound

This paper cites Deep Learning; MIT Press: Cambridge, MA, USA, 2016.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Deep Learning; MIT Press: Cambridge, MA, USA, 2016

Reference 15

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Observation c0125459-23af-4b6c-833c-e425a7e1f9d6 · outbound

This paper cites Learning-based model predictive control: Toward safe learning in control.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Learning-based model predictive control: Toward safe learning in control

Reference 16

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This paper cites Learning for CasADi: Data-driven models in numerical optimization.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Learning for CasADi: Data-driven models in numerical optimization

Reference 17

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This paper cites L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control

Reference 18

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This paper cites Gradient-based learning applied to document recognition.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Gradient-based learning applied to document recognition

Reference 19

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This paper cites Pattern Recognition and Machine Learning (Information Science and Statistics); Springer: Berlin/Heidelberg, Germany, 2006.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Pattern Recognition and Machine Learning (Information Science and Statistics); Springer: Berlin/Heidelberg, Germany, 2006

Reference 20

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This paper cites Deep Learning: A comprehensive overview on techniques, taxonomy, applications and research directions.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Deep Learning: A comprehensive overview on techniques, taxonomy, applications and research directions

Reference 21

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Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Long short-term memory

Reference 22

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This paper cites Neural-network-based state estimation: The effect of pseudo- measurements.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Neural-network-based state estimation: The effect of pseudo- measurements

Reference 23

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This paper cites Nonlinear system identification using neural state space models, applicable to robust control design.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Nonlinear system identification using neural state space models, applicable to robust control design

Reference 24

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This paper cites Nonlinear dynamic trend modeling using feedback neural networks and prediction error minimization.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Nonlinear dynamic trend modeling using feedback neural networks and prediction error minimization

Reference 25

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This paper cites Neural Moving Horizon Estimation: A Systematic Literature Review.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Neural Moving Horizon Estimation: A Systematic Literature Review

Reference 26

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This paper cites Reliable Estimation of Automotive States Based on Optimized Neural Networks and Moving Horizon Estimator.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Reliable Estimation of Automotive States Based on Optimized Neural Networks and Moving Horizon Estimator

Reference 27

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This paper cites Nonlinear Moving Horizon Estimation and Model Predictive Control for Buildings with Unknown HVAC Dynamics.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Nonlinear Moving Horizon Estimation and Model Predictive Control for Buildings with Unknown HVAC Dynamics

Reference 28

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This paper cites A Combined Robust Approach Based on Auto-Regressive Long Short-Term Memory Network and Moving Horizon Estimation for State-of-Charge Estimation of Lithium-Ion Batteries.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine A Combined Robust Approach Based on Auto-Regressive Long Short-Term Memory Network and Moving Horizon Estimation for State-of-Charge Estimation of Lithium-Ion Batteries

Reference 29

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This paper cites Moving-horizon state estimation for nonlinear systems using neural networks.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Moving-horizon state estimation for nonlinear systems using neural networks

Reference 30

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This paper cites Deep learning based model predictive control for compression ignition engines.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Deep learning based model predictive control for compression ignition engines

Reference 31

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This paper cites Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation

Reference 32

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Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Integrating Recurrent Neural Networks into Model Predictive Control for Thermal Torque Derating of Electric Machines

Reference 33

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Observation 70a02704-e777-4d11-a68e-faf716c3fa67 · outbound

This paper cites Derating-Strategien für elektrisch angetriebene Sportwagen ; Springer Fachmedien Wiesbaden: Wiesbaden, 2017.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Derating-Strategien für elektrisch angetriebene Sportwagen ; Springer Fachmedien Wiesbaden: Wiesbaden, 2017

Reference 34

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Observation c528ab32-e04e-4569-b511-a7a73735a182 · outbound

This paper cites Function Development with an Electric-Machine-in-the-Loop Setup: A Case Study.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Function Development with an Electric-Machine-in-the-Loop Setup: A Case Study

Reference 35

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Observation cf5acc4a-3e5f-49e3-aa0d-18c0dfc896a4 · outbound

This paper cites (Eds.) Derating of Automotive Drive Systems Using Model Predictive Control.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine (Eds.) Derating of Automotive Drive Systems Using Model Predictive Control

Reference 36

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 440ef5ac-e926-46ec-8154-b40f70ef9806 · outbound

This paper cites acados—A modular open-source framework for fast embedded optimal control.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine acados—A modular open-source framework for fast embedded optimal control

Reference 37

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Unavailable: canonical work link unavailable.

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Observation 1dc9c27c-b782-488f-915b-02a9c7d92960 · outbound

This paper cites Long Short-Term Memory Networks With Python; Machine Learning Mastery, 2017.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Long Short-Term Memory Networks With Python; Machine Learning Mastery, 2017

Reference 38

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Observation 50952b5e-128e-45d8-80f5-853b051d610c · outbound

This paper cites Embedded Real-Time Nonlinear Model Predictive Control for the Thermal Torque Derating of an Electric Vehicle.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Embedded Real-Time Nonlinear Model Predictive Control for the Thermal Torque Derating of an Electric Vehicle

Reference 39

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verified exact
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b8281dd0-e855-4126-8582-6e1dea5b6d7f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Adam: A Method for Stochastic Optimization

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08951013-d94e-47f7-baa3-020c09645ea8 · outbound

This paper cites Model Predictive Control: Theory, Computation, and Design; Nob Hill Publishing: Madison, WI, USA, 2017.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Model Predictive Control: Theory, Computation, and Design; Nob Hill Publishing: Madison, WI, USA, 2017

Reference 41

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Observation ae411752-76f7-404a-aa3e-7aaf592202ea · outbound

This paper cites Communication Systems, 5th ed.; Wiley: Hoboken, NJ, USA, 2009.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Communication Systems, 5th ed.; Wiley: Hoboken, NJ, USA, 2009

Reference 42

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2e8dbbf3-baec-400f-82b8-f06c9a643c2d · outbound

This paper cites HPIPM: A high-performance quadratic programming framework for model predictive control.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine HPIPM: A high-performance quadratic programming framework for model predictive control

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d10af9d-8163-4817-9e08-8dc1541f96c4 · outbound

This paper cites Embedded Workflow—acados Documentation.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Embedded Workflow—acados Documentation

Reference 44

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verified fuzzy
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Source-reported events for the cited work

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Observation 7aeaf7c4-2ed7-4bec-966d-f0dea18aa7ac · outbound

This paper cites Deep Neural Network Based Moving Horizon Estimation: Data, Models, Scripts (feat.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Deep Neural Network Based Moving Horizon Estimation: Data, Models, Scripts (feat

Reference 45

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8769c469-9774-46c2-8b35-e852c1ef79f3 · outbound

This paper cites an unresolved cited work.

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine Unresolved cited work

Reference 1628

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verified exact
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.