Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning | Paper Citation Record

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This paper cites an unresolved cited work.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Unresolved cited work

Reference 1

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Observation a7088873-4a58-4ff4-8c8f-6e6e800b913a · outbound

This paper cites Digital twins for the designs of systems: a perspective.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Digital twins for the designs of systems: a perspective

Reference 2

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This paper cites Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization

Reference 3

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This paper cites An optimization-centric review for integrating artificial intelligence and digital twin technologies in manufacturing.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning An optimization-centric review for integrating artificial intelligence and digital twin technologies in manufacturing

Reference 4

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Observation b7f821b0-dc8c-46e1-b3b6-17b7728b4dba · outbound

This paper cites Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey

Reference 5

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This paper cites Overview of predictive maintenance based on digital twin technology.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Overview of predictive maintenance based on digital twin technology

Reference 6

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Observation c20310a5-abaf-4cda-a5c5-f248ce62f60f · outbound

This paper cites Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems

Reference 7

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Observation c05685bd-912a-4f90-acd1-1e1166cc1cac · outbound

This paper cites B., Mayne, D.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning B., Mayne, D

Reference 8

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Observation 25c54e2b-9111-42a2-a196-5cf5f76d7429 · outbound

This paper cites Stochastic model predictive control: An overview and perspectives for future research.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Stochastic model predictive control: An overview and perspectives for future research

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.932104Z

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This paper cites Robust model predictive control of constrained linear systems with bounded disturbances.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Robust model predictive control of constrained linear systems with bounded disturbances

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.919598Z

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This paper cites Robust learning-based mpc for nonlinear constrained systems.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Robust learning-based mpc for nonlinear constrained systems

Reference 11

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This paper cites Learning-based model predictive control: Towardsafelearningincontrol.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Learning-based model predictive control: Towardsafelearningincontrol

Reference 12

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This paper cites Minimaxapproachestorobustmodelpredictivecontrol ,Vol.812.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Minimaxapproachestorobustmodelpredictivecontrol ,Vol.812

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.882235Z

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This paper cites Robust model predictive control: A survey.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Robust model predictive control: A survey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.869839Z

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Observation 85f83a62-b3d0-4dc0-be63-706817a554c9 · outbound

This paper cites Online robust tube-based mpc for time-varying systems: A practical approach.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Online robust tube-based mpc for time-varying systems: A practical approach

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.858615Z

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This paper cites Robust control co-design using tube-based model predictive control.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Robust control co-design using tube-based model predictive control

Reference 16

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This paper cites Robustmodelpredictivecontrolusingtubes.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Robustmodelpredictivecontrolusingtubes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.836745Z

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Observation f9a4e786-3156-4c3f-977e-0f61c63873ec · outbound

This paper cites Constraint-tightening and stability in stochastic model predictive control.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Constraint-tightening and stability in stochastic model predictive control

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.824081Z

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Observation 7a4d13f4-76fc-43e7-8aa9-6d8bd1d817e7 · outbound

This paper cites Control co-design with performance-robustness trade-off using tube-based stochastic model predictive control.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Control co-design with performance-robustness trade-off using tube-based stochastic model predictive control

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.811550Z

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Observation a96e434d-ec8c-4a3a-9b6c-4e2370dd4ab4 · outbound

This paper cites D., and Todd, M.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning D., and Todd, M

Reference 20

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This paper cites Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.785543Z

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This paper cites Modelpredictivecontrolwhenutilizing lstm as dynamic models.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Modelpredictivecontrolwhenutilizing lstm as dynamic models

Reference 22

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This paper cites Real-timeadaptivemachine-learning-basedpredictivecontrolof nonlinear processes.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Real-timeadaptivemachine-learning-basedpredictivecontrolof nonlinear processes

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.760693Z

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This paper cites Lstm-mpc: A deep learning based predictive control method for multimode process control.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Lstm-mpc: A deep learning based predictive control method for multimode process control

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.749206Z

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This paper cites Neuralnetwork-baseduncertaintyquantification: A survey of methodologies and applications.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Neuralnetwork-baseduncertaintyquantification: A survey of methodologies and applications

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.737268Z

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This paper cites Advancing vehicle trajectory prediction: A probabilistic approach using combined sequential models.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Advancing vehicle trajectory prediction: A probabilistic approach using combined sequential models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.723627Z

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This paper cites Cautious model predictive control using gaussian process regression.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Cautious model predictive control using gaussian process regression

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.712659Z

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Observation b5eadf62-9f51-4ba5-9fc4-bdc3f5c8e4e3 · outbound

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Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Deep Learning Tubes for Tube MPC

Reference 28

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Observation 6203e729-bc34-4998-8e7c-3cfe3f1d9a2f · outbound

This paper cites Simultaneous multistep transformer architecture for model predictive control.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Simultaneous multistep transformer architecture for model predictive control

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.701569Z

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This paper cites State space models vs. multi-step predictors inpredictivecontrol: Arestatespacemodelscomplicatingsafedata-drivendesigns?.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning State space models vs. multi-step predictors inpredictivecontrol: Arestatespacemodelscomplicatingsafedata-drivendesigns?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.690316Z

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This paper cites Learning-based predictive control for linear systems: A unitary approach.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Learning-based predictive control for linear systems: A unitary approach

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.679649Z

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This paper cites Robust multi-rate predictive control using multi-step prediction models learned from data.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Robust multi-rate predictive control using multi-step prediction models learned from data

Reference 32

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Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Quantile deep learning models for multi-step ahead time series prediction

Reference 33

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Observation 5b36c832-1076-4da5-baf4-f291089d4ea8 · outbound

This paper cites A novel time series probabilistic prediction approach based on the monotone quantile regression neural network.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning A novel time series probabilistic prediction approach based on the monotone quantile regression neural network

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.657926Z

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Observation bb61a827-ae8e-4b52-83e3-02fdc9e28c9b · outbound

This paper cites D., Todd, M.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning D., Todd, M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.647680Z

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Observation 1bbca3d3-7622-4e6f-a4f3-0a8b072d26c3 · outbound

This paper cites Design of approximate explicit model predictive controller using parametric optimization.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Design of approximate explicit model predictive controller using parametric optimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.626407Z

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Observation 0e70d508-7833-419f-9ae6-2a7202466059 · outbound

This paper cites Stochasticmodelpredictivecontrolusingacombination of randomized and robust optimization.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Stochasticmodelpredictivecontrolusingacombination of randomized and robust optimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.615823Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29320666-05cf-4df0-a685-7a79381f638a · outbound

This paper cites Stochastic model predictive control using simplified affine disturbance feedback for chance-constrained systems.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Stochastic model predictive control using simplified affine disturbance feedback for chance-constrained systems

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.604741Z

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Observation a1b5f352-2e3e-48b5-a821-dd5601bd08c8 · outbound

This paper cites A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.592347Z

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Observation 05c8a24a-1a8f-4afd-b830-4814e4b548ad · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 40

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Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 41

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Observation 0665826a-d1c7-4472-8b47-eb59f4cc2b05 · outbound

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Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Quantileregression

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.580285Z

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Observation a2a2d45c-b7e2-4a72-9980-b45750dcb16f · outbound

This paper cites Quantile regression: applications and current research areas.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Quantile regression: applications and current research areas

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.567971Z

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Observation e47f3a76-5e92-4b66-bc0a-334c21f6bc3a · outbound

This paper cites Deep evidential regression.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Deep evidential regression

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.555151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50a19b33-b20f-473c-9fe2-7ad675b2426a · outbound

This paper cites Stochastic model predictive control—how does it work?.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Stochastic model predictive control—how does it work?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.543064Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 325898ad-a195-4be2-a999-087378ab258b · outbound

This paper cites Probabilistic tubes in linear stochastic model predictive control.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Probabilistic tubes in linear stochastic model predictive control

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.531491Z

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Observation 319ef5f3-33df-46fe-8371-4f7d055c641f · outbound

This paper cites Alatentvariableapproachfornon-hierarchicalmulti-fidelity adaptive sampling.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Alatentvariableapproachfornon-hierarchicalmulti-fidelity adaptive sampling

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.518476Z

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Observation 4c24591f-e5bb-42ac-86f9-05d734342df9 · outbound

This paper cites Nonlinearmodelpredictivecontrolalgorithmwithiterativenonlinear prediction and linearization for long short-term memory network models.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Nonlinearmodelpredictivecontrolalgorithmwithiterativenonlinear prediction and linearization for long short-term memory network models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.505454Z

Source-reported events for the cited work

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Observation ddcc84c8-4610-4f00-afb8-72cb46648af7 · outbound

This paper cites Acomparativestudyofstochasticmodelpredictive controllers.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Acomparativestudyofstochasticmodelpredictive controllers

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.492814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 648d38b6-f867-4179-8597-bb85ad524594 · outbound

This paper cites Dynamic tube mpc for nonlinear systems.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Dynamic tube mpc for nonlinear systems

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.480024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 04f8fdb1-5eec-43c6-a033-f96bff3346f3 · outbound

This paper cites Pytorch: Animperativestyle,high-performancedeeplearninglibrary.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Pytorch: Animperativestyle,high-performancedeeplearninglibrary

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.467228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ac49fb3-600b-4853-ae07-0630b8a389c5 · outbound

This paper cites J., 1999.Numerical optimization.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning J., 1999.Numerical optimization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.455289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 82ad9c65-172b-462e-b8c8-8c9778635148 · outbound

This paper cites Pytorch-minimize: a library for numerical optimization with autograd.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Pytorch-minimize: a library for numerical optimization with autograd

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.441626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f21912d6-0e85-4ccd-8bdf-5b2e0de9a670 · outbound

This paper cites Machine learning-assistedin-situadaptivestrategiesforthecontrolofdefectsandanomaliesinmetaladditivemanufacturing.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Machine learning-assistedin-situadaptivestrategiesforthecontrolofdefectsandanomaliesinmetaladditivemanufacturing

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.428887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 305fd244-70a6-47b3-8e69-c1c98abe0687 · outbound

This paper cites Efficient gpu-accelerated thermomechanical solver for residual stress prediction in additive manufacturing.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Efficient gpu-accelerated thermomechanical solver for residual stress prediction in additive manufacturing

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.414693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1cc726fb-9ed5-48a6-bda1-981b0dcec29e · outbound

This paper cites Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.399918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b33d7ec3-681d-4c9f-a23b-21a78bdbda24 · outbound

This paper cites State of the art in directed energy deposition: From additive manufacturing to materials design.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning State of the art in directed energy deposition: From additive manufacturing to materials design

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.387414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ee5b664-52ac-4f21-94b4-18c1c047ae99 · outbound

This paper cites A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies.

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:16:17.637465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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