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Paper Citation Record · LEDGER

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2505.14515.

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

pith.paper-citation-record.v1
2505.14515 v2

Coverage vector

measured 60 of 60 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

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Outbound references

Observation 3e6baa88-08b6-4705-9571-274c1d1a8235 · outbound

This paper cites Design of dynamic systems using surrogate models of derivative functions.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Design of dynamic systems using surrogate models of derivative functions

Reference 1

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This paper cites A trajectory-based sampling strategy for sequentially refined metamodel management of metamodel-based dynamic optimization in mechatronics.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines A trajectory-based sampling strategy for sequentially refined metamodel management of metamodel-based dynamic optimization in mechatronics

Reference 2

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Observation cb2a71a7-9ad4-488b-801a-7541f685d83f · outbound

This paper cites Control co-design of 13 MW down- wind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Control co-design of 13 MW down- wind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy

Reference 3

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Observation 9b48a553-d713-4a0b-9eab-6ac8d2acc207 · outbound

This paper cites [Online].

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines [Online]

Reference 4

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Observation 4ee2a34f-8153-48f0-84bb-459c42fd084d · outbound

This paper cites WEC-Sim /WEC-Sim: WEC-Sim v5.0.1.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines WEC-Sim /WEC-Sim: WEC-Sim v5.0.1

Reference 5

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Observation d5d3467d-5822-49b1-9c95-d0b764415d27 · outbound

This paper cites Wind energy generation systems - part 3-2: Design requirements for floating o ffshore wind turbines.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Wind energy generation systems - part 3-2: Design requirements for floating o ffshore wind turbines

Reference 6

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Observation 0d3ba0f2-adef-41eb-8418-3c0f32a0441d · outbound

This paper cites Floating wind turbine control op- timization.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Floating wind turbine control op- timization

Reference 7

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Observation ab07a2f4-2a1a-4107-9c92-e4be44e3940c · outbound

This paper cites Concurrent probabilistic con- trol co-design and layout optimization of wave energy converter farms using surrogate modeling.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Concurrent probabilistic con- trol co-design and layout optimization of wave energy converter farms using surrogate modeling

Reference 8

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Observation 377bcd8e-258e-45bb-8532-c853fa460997 · outbound

This paper cites Open-loop control co-design of semisubmersible floating o ffshore wind turbines using linear parameter-varying models.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Open-loop control co-design of semisubmersible floating o ffshore wind turbines using linear parameter-varying models

Reference 9

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Observation ea1ee8ef-b77b-46ae-8f7a-302e3854e38a · outbound

This paper cites FAST modularization framework for wind turbine simulation: full-system linearization.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines FAST modularization framework for wind turbine simulation: full-system linearization

Reference 10

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Observation 3864aa1a-e562-4b4d-abe2-47cb45e05506 · outbound

This paper cites A reference open-source controller for fixed and floating offshore wind turbines.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines A reference open-source controller for fixed and floating offshore wind turbines

Reference 11

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Observation ede58dc8-4cc6-47ab-a160-8ba1a2030d94 · outbound

This paper cites Added-mass effects on a horizontal-axis tidal turbine using FAST v8.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Added-mass effects on a horizontal-axis tidal turbine using FAST v8

Reference 12

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Observation 6117cd05-580c-47bf-9761-9cc3b118cce7 · outbound

This paper cites Design and modeling of an open- source baseline floating marine turbine.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Design and modeling of an open- source baseline floating marine turbine

Reference 13

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Observation 18303650-0b74-43d7-ba01-2a759c0dbf2b · outbound

This paper cites A tutorial on the dynamics and control of wind turbines and wind farms.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines A tutorial on the dynamics and control of wind turbines and wind farms

Reference 14

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Observation 2766486b-9b02-4e67-a489-496f676bdb43 · outbound

This paper cites Functional requirements for the WEIS toolset to enable controls co-design of floating o ffshore wind tur- bines.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Functional requirements for the WEIS toolset to enable controls co-design of floating o ffshore wind tur- bines

Reference 15

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Observation b35bb613-c012-4526-9def-3d18d4cd2c79 · outbound

This paper cites Development of a control co-design modeling tool for marine hydrokinetic turbines.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Development of a control co-design modeling tool for marine hydrokinetic turbines

Reference 16

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Observation b1f6f203-09e2-4d4b-b061-f11731fd48ea · outbound

This paper cites Control of floating wind turbines.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Control of floating wind turbines

Reference 17

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Observation 3d32b858-9657-4168-9c92-39f651397ab6 · outbound

This paper cites Data-driven surrogate model for wind turbine damage equivalent load.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Data-driven surrogate model for wind turbine damage equivalent load

Reference 18

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Observation 4bd8bc1e-43d7-4548-8355-973ab2c25f29 · outbound

This paper cites Survey of multifidelity methods in un- certainty propagation, inference, and optimization.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Survey of multifidelity methods in un- certainty propagation, inference, and optimization

Reference 19

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Observation d0436c50-7cdf-44d1-b588-c063826d5998 · outbound

This paper cites Provably convergent multi- fidelity optimization algorithm not requiring high-fidelity deriva- tives.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Provably convergent multi- fidelity optimization algorithm not requiring high-fidelity deriva- tives

Reference 20

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Observation 62e812ac-7042-4c69-be81-797e0508d515 · outbound

This paper cites Development of an opti- mal variable-pitch controller for floating axial-flow marine hy- drokinetic turbines.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Development of an opti- mal variable-pitch controller for floating axial-flow marine hy- drokinetic turbines

Reference 21

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Observation 206f98eb-68aa-4d83-8184-7e1752c22e85 · outbound

This paper cites Influence of wind turbine design pa- rameters on linearized physics-based models in OpenFAST.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Influence of wind turbine design pa- rameters on linearized physics-based models in OpenFAST

Reference 22

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Observation 6354a393-b4f6-4204-a560-9e6c128f9f15 · outbound

This paper cites Beamdyn: a high-fidelity wind turbine blade solver in the fast modular framework.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Beamdyn: a high-fidelity wind turbine blade solver in the fast modular framework

Reference 23

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Observation 00afbdaf-8aa7-4376-a89e-bccbfa263382 · outbound

This paper cites Control co-design optimization of nat- ural gas power plants with carbon capture and thermal storage.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Control co-design optimization of nat- ural gas power plants with carbon capture and thermal storage

Reference 24

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Observation 77843342-b347-4e70-aa72-0cb09ab47f84 · outbound

This paper cites Nested control co-design of a spar buoy horizontal-axis floating offshore wind turbine.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Nested control co-design of a spar buoy horizontal-axis floating offshore wind turbine

Reference 25

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Observation 0f1b109e-73ca-4532-bfff-fedb0939835e · outbound

This paper cites Modeling and control co-design of a float- ing offshore vertical-axis wind turbine system.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Modeling and control co-design of a float- ing offshore vertical-axis wind turbine system

Reference 26

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Observation 518557dc-fffc-48ed-b2fe-19a6bbe811fa · outbound

This paper cites Surrogate modeling of nonlinear dynamic systems: A comparative study.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Surrogate modeling of nonlinear dynamic systems: A comparative study

Reference 27

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Observation 5291da49-2b46-4d5d-964b-29d16e832d39 · outbound

This paper cites The performance of LSTM and BiLSTM in forecasting time series.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines The performance of LSTM and BiLSTM in forecasting time series

Reference 28

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Observation 3237784e-f866-4565-8469-3b4e8061c130 · outbound

This paper cites Frequency domain system identifi- cation toolbox for MATLAB: Improvements and new possibili- ties.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Frequency domain system identifi- cation toolbox for MATLAB: Improvements and new possibili- ties

Reference 29

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Observation 66849894-d3c6-4ad3-aa8a-7ceaff50f1c2 · outbound

This paper cites V ., and Moor, B.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines V ., and Moor, B

Reference 30

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Observation 65138fe7-c25a-449e-bfda-51e623e0a01d · outbound

This paper cites Past, present and future of nonlinear sys- tem identification in structural dynamics.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Past, present and future of nonlinear sys- tem identification in structural dynamics

Reference 31

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Observation 49912b33-a7e8-41a6-b6a3-154ca4d55d82 · outbound

This paper cites On evolutionary system identification with applications to nonlinear benchmarks.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines On evolutionary system identification with applications to nonlinear benchmarks

Reference 32

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Observation f17229b4-965e-414e-ba07-c5c404a54fdf · outbound

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Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines System Identification

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:50.335770Z digest=sha256:4e7e746d7bd2e5448100c9985a1b2db77112e798e5178a9f180da5319ec05e45

Observation dff21c8c-69af-42d8-89f9-18d29e9109a7 · outbound

This paper cites A new subspace identification method for open and closed loop data.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines A new subspace identification method for open and closed loop data

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:50.483451Z digest=sha256:d7b688aba9b56e21173ac2c7727ebe79e8f1001762695b5ac4ae1d86b8e41a17

Observation 513f77e0-5f34-4808-aede-0b613639b17c · outbound

This paper cites A novel surrogate model-based solving framework for the black-box dynamic co-design and optimization problem in the dynamic system.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines A novel surrogate model-based solving framework for the black-box dynamic co-design and optimization problem in the dynamic system

Reference 35

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:50.615318Z digest=sha256:939aab8dc42b031ac55832bec265815216271065507cc7a3690044c3b547ec5f

Observation 1bc59814-4ffd-4e0b-9a27-97dff7be38e5 · outbound

This paper cites A new sequential sampling method of surrogate models for design and optimization of dynamic systems.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines A new sequential sampling method of surrogate models for design and optimization of dynamic systems

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:50.691333Z digest=sha256:7ffc6667d7741a7e74fa7f9b36c28540d9868709ee8d2d5c1012debcea5e22e5

Observation cbfa1a84-3c6f-4bf6-b259-045e0232b5b0 · outbound

This paper cites On the uses of linear- quadratic methods in solving nonlinear dynamic optimization prob- lems with direct transcription.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines On the uses of linear- quadratic methods in solving nonlinear dynamic optimization prob- lems with direct transcription

Reference 37

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:50.800260Z digest=sha256:f7a3d20d6883c385a6355ac7edb9996dbd71304b8b97d51e51f601d594b8f41b

Observation a8f12061-1f4d-474c-9afb-4fdae20c6964 · outbound

This paper cites Co-design of an active suspension us- ing simultaneous dynamic optimization.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Co-design of an active suspension us- ing simultaneous dynamic optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:50.871423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:50.871423Z digest=sha256:2c5ece429536176b2a2ec304cdb1b7455954768294ae29f4e87a4896752ce8fc

Observation 80540f25-b179-4853-b8f3-9f15712c6b91 · outbound

This paper cites LPV-based torque control for an extreme-scale morphing wind turbine rotor.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines LPV-based torque control for an extreme-scale morphing wind turbine rotor

Reference 39

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T15:37:57.960425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:50.933432Z digest=sha256:8e098300fe416645b4bd4238ae2ce580476ad29ade21c1b24943f4ac3f8ecc70

Observation a3c933df-44a4-4ab7-af4d-b205452b92f6 · outbound

This paper cites Prediction error method for identification of LPV models.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Prediction error method for identification of LPV models

Reference 40

Resolution
verified exact
doi, observed 2026-08-07T15:37:53.463468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.024871Z digest=sha256:d62cb8c50b1743e7697494bab7846f4cb0ce1499fad2f9aa39dadd80a81f5db6

Observation f8d799f1-5a6b-42a5-8ea1-cad6d08d3c4a · outbound

This paper cites LPV /LFT modelling and iden- tification: overview, synergies and a case study.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines LPV /LFT modelling and iden- tification: overview, synergies and a case study

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.088183Z digest=sha256:d93b035c629fd8ffe187e3fea7cb431593f66cb197c6fa9276799c422f88fd55

Observation ea542fff-f09a-4f12-9805-6638b32fdd58 · outbound

This paper cites Modeling and Identification of Linear Parameter- Varying Systems.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Modeling and Identification of Linear Parameter- Varying Systems

Reference 42

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.246685Z digest=sha256:2decbb1c4e946603719ba89d8a6cf947fb05d015e4f14f39fb13abed697979c3

Observation a4225cc8-654d-4523-bfd1-02c96219fd09 · outbound

This paper cites IEA wind TCP task 37: definition of the IEA 15-megawatt o ffshore reference wind turbine.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines IEA wind TCP task 37: definition of the IEA 15-megawatt o ffshore reference wind turbine

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:51.303764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:51.303764Z digest=sha256:ebcf595532053577f46a7a48695ac9f5cda17a7bb9f2b7ee7829a64251b83b89

Observation 87a8fc98-17e9-4e51-b430-c199efbf1647 · outbound

This paper cites Definition of the UMaine V olturnUS-S ref- erence platform developed for the IEA wind 15-megawatt o ffshore reference wind turbine.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Definition of the UMaine V olturnUS-S ref- erence platform developed for the IEA wind 15-megawatt o ffshore reference wind turbine

Reference 44

Resolution
verified exact
doi, observed 2026-08-07T15:37:53.343356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.401568Z digest=sha256:e4e0a6f6a7e255f6ee752ff19961e7c93ac12677acbde1369eec9c213597733e

Observation 59781995-8ba8-4c3d-9e9c-e76a452ba620 · outbound

This paper cites [Online, version gd3ea7969].

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines [Online, version gd3ea7969]

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.530237Z digest=sha256:ecf98ea3d89c214ecfa13a9bfd279769986c8f8a63769f328493e16137cb6b95

Observation fe643b7f-87f1-44a4-9a46-03a54465b891 · outbound

This paper cites an unresolved cited work.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:37:59.993401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.651533Z digest=sha256:e27f066a998f5b3be383e469a22a9871921638f8ea2c853e790c709d6e301dc3

Observation 7150e147-16dc-452b-91e9-674ae30652a9 · outbound

This paper cites CubicSpline.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines CubicSpline

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:37:59.800028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.775208Z digest=sha256:e68537235ef0cc791dbf7d4f6adaa5fa07da69e6fec75a19881f80bb6ce9454f

Observation 35ab98e4-c3b1-4745-b8fe-1bcb537829a0 · outbound

This paper cites Closed-loop issues in system iden- tification.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Closed-loop issues in system iden- tification

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:51.890955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:51.890955Z digest=sha256:d0055dc8c2f0d1688611c8eb24b0e9b12e7f9bb6eec0e361106df57408d9f258

Observation 5164aaf0-1e23-4c13-bfcb-60cb9c006819 · outbound

This paper cites TensorFlow: Large-scale machine learning on heterogeneous systems.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines TensorFlow: Large-scale machine learning on heterogeneous systems

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.981948Z digest=sha256:8b683b217906cf7f0f64e0ccc388f9604eefd5308296c6682c3772852df17a24

Observation e0a5d416-113b-4f1a-aea3-8244a9d8aa99 · outbound

This paper cites Determining equivalent dam- age loading for full-scale wind turbine blade fatigue tests.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Determining equivalent dam- age loading for full-scale wind turbine blade fatigue tests

Reference 50

Resolution
verified exact
doi, observed 2026-08-07T15:37:53.196562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:52.068232Z digest=sha256:742941b7627a18f9c514ad628a0ff486737d4fbc38424c6d175ed36dfaeeeaa7

Observation 67d9dbb3-82a0-46ec-a7f8-c848c2ec1a90 · outbound

This paper cites A machine learning method for model- ing wind farm fatigue load.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines A machine learning method for model- ing wind farm fatigue load

Reference 51

Resolution
verified exact
doi, observed 2026-08-07T15:37:53.031470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:52.211509Z digest=sha256:cc131a41dfa5d785f10ed9e8680d5e70f17977977fd065a9725f446e715132ab

Observation 2e30a5b1-4ea8-48dc-94b0-715daa5ef50b · outbound

This paper cites Deep state space models for nonlinear system identification.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Deep state space models for nonlinear system identification

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:52.329640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:52.329640Z digest=sha256:3c502469b2874a0c8cbef4b00c99b880fed79e37ee36a2c1ec2bb07e275f173e

Observation 3d575763-021d-4ec6-be15-6d1d771aa76d · outbound

This paper cites Deep networks for system iden- tification: A survey.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Deep networks for system iden- tification: A survey

Reference 53

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T15:37:57.429993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:52.469747Z digest=sha256:792baf6c9f5eb05a3108141657e1c32b8a50ca42a6e2607d467f6c2f4ea3c622

Observation 3905e1c6-c023-439a-abfb-1f26e81184fe · outbound

This paper cites Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:52.583009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:52.583009Z digest=sha256:b670080b91678d74f7f99366e345e526d3ce9e185d04414a4504614956a71743

Observation dc1b0ee3-f863-4d3a-b446-cfcd607e7b7d · outbound

This paper cites Continuous-time echo state networks for predicting power system dynamics.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Continuous-time echo state networks for predicting power system dynamics

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:52.726255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:52.726255Z digest=sha256:537259098ba55bf55d53b18845a9490ea866ee10e020c5a0ce42e3065f73d260

Observation aa937eec-afbe-4b0c-840e-51c179b3497c · outbound

This paper cites Neural Ordinary Differential Equations.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Neural Ordinary Differential Equations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:52.843682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:52.843682Z digest=sha256:1f8e46d5ab6aa3ca828d66e79507444473a19b366cb0c627b0dd7422da41a8c8

Observation 23212452-416d-47c6-92ee-3281877afb9e · outbound

This paper cites an unresolved cited work.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Unresolved cited work

Reference 173

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:50.405550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:50.405550Z digest=sha256:bd902b7c8a99092d32b26f24abdb8cb35b8e51e6316dccad18b768ca964791df

Observation cc3bd2e0-22ad-43ff-bd26-30d2769716bb · outbound

This paper cites Characterizing Input Methods for Human-to-robot Demonstrations.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Characterizing Input Methods for Human-to-robot Demonstrations

Reference 505

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:37:58.408537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:50.554557Z digest=sha256:5fabc957099c8b0a75cef748a1ad54587283f1b80ae3cd7af3f783d7818e6b1c

Observation cdcd2c72-b4c8-4f97-a528-f21cfa41842a · outbound

This paper cites an unresolved cited work.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Unresolved cited work

Reference 857

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T15:37:57.740155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:37:51.198432Z digest=sha256:e2dc91d1070b56608d5880421da63ec6500fc5881acb544096ef26fef530bb78

Observation 9278b402-c31d-42cb-8783-bfa4f8c170a5 · outbound

This paper cites an unresolved cited work.

Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Unresolved cited work

Reference 1002

Resolution
verified exact
doi, observed 2026-08-07T15:37:55.417016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.