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

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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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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

This paper cites System Identification.

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

Reference 33

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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

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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

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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

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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

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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

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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

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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

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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; raw_fallback, observed 2026-08-07T15:38:00.525403Z

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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; raw_fallback, observed 2026-08-07T15:38:00.352653Z

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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

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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

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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; raw_fallback, observed 2026-08-07T15:38:00.170635Z

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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

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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

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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

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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

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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

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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

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

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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

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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

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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

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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

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

Reference 56

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

Reference 173

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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

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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

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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

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