A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing | Paper Citation Record

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

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Unresolved cited work

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Digital twins for the designs of systems: a perspective

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This paper cites Anoptimization-centricreviewforintegratingartificial intelligence and digital twin technologies in manufacturing.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Anoptimization-centricreviewforintegratingartificial intelligence and digital twin technologies in manufacturing

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This paper cites Decision support within digital twins in manufacturing ecosystems: A review.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Decision support within digital twins in manufacturing ecosystems: A review

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Uncertainty-aware digital twins: Robust model predictive control using time-series deep quantile learning

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This paper cites Amodulardigitaltwin architecture for offshore safety and decision-making: A north sea platform case study.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Amodulardigitaltwin architecture for offshore safety and decision-making: A north sea platform case study

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This paper cites Real-time decision-making for digital twin in additive manufacturing with model predictive control using time-series deep neural networks.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Real-time decision-making for digital twin in additive manufacturing with model predictive control using time-series deep neural networks

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing The emergence of cognitive digital twin: vision, challenges and opportunities

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Maintenance planning using a digital twin: principles and case studies

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This paper cites Ai-driven digital twin framework for predictive maintenance: Dynamic decision making and adaptive model updates.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Ai-driven digital twin framework for predictive maintenance: Dynamic decision making and adaptive model updates

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This paper cites Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A comprehensive review of digital twinâĂŤpart 1: modeling and twinning enabling technologies

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Learning dynamical systems from data: An introduction to physics-guided deep learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing 2026 roadmap on artificial intelligence and machine learning for smart manufacturing

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Digitaltwin-enabledmultigenerationcontrolco-design with deep reinforcement learning

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This paper cites Reinforcement learning-based control co-design of digital twin-enabled full-vehicle active suspension systems.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Reinforcement learning-based control co-design of digital twin-enabled full-vehicle active suspension systems

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Methods for enabling real-time analysis in digital twins: A literature review

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Model predictive control: theory, computation, and design

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Learning-based model predictive control: Towardsafelearningincontrol

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Robustcontrolco-designusingtube-basedmodelpredictivecontrol

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Control co-design with performance-robustness trade-off using tube-based stochastic model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Parametric multi-objective optimization for simultaneous and nested control co-design formulations with tube-based model predictive controllers

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Simultaneous multistep transformer architecture for model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Lstm-mpc: A deep learning based predictive control method for multimode process control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Model predictive control when utilizing lstm as dynamic models

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Anewadaptiveexplicitnonlinearmodelpredictivecontroldesignforanonlinear mimo system: An application to twin rotor mimo system

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Targeted digital twin via flow map learning and its application to fluid dynamics

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Unknown parameter excitation and estimation for complex systems with dynamic performances

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Cautious model predictive control using gaussian process regression

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Bias-learning-based model predictive controller design for reliable path tracking of autonomous vehicles under model and environmental uncertainty

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Investigation on the impact of nongeometric uncertainty in dynamic perfor- mance of serial and parallel robot manipulators

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A novel digital twin approach based on deep multimodal information fusion for aero-engine fault diagnosis

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing An accelerated dual gradient-projection algorithm for embedded linear model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Mpc-based dual control with online experiment design

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Adaptiveoptimalcontroloffaultynonlinear dc microgrids with constant power loads: Dual-extended kalman filter approach

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Koopman operator-based model predictive control with recursive online update

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A sample path-based method for the digital twin prediction update synchronizationproblemofunreliableproductionlines

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Understanding semantic drift in model driven digital twins

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Springer Nature

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Adaptive neural network model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Nonlinear model identification and adaptive model predictive control using neural networks

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Real-time adaptive machine-learning-based predictive control of nonlinear processes

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing An online learning method for microgrid energy management control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Adaptivemachinelearningwithphysics-basedsimulationsfor mean time to failure prediction of engineering systems

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Digitaltwin-basedanomalydetectionunderconceptdrift: Acom- parison between iterative batch learning and incremental learning approaches

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Deep model predictive flow control with limited sensor data and online learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Anonlinetransferlearningapproachforidentification and predictive control design with application to rcci engines

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Concept drift detection and adaption framework using optimized deep learning and adaptive sliding window approach

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A lightweight concept drift detection and adaptation framework for iot data streams

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A drift detection method based on dynamic classifier selection

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Asurveyonconceptdriftadaptation

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Learning under concept drift: A review

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Learningfromstreamingdatawithconceptdriftandimbalance: an overview

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A comparative study on concept drift detectors

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing An ewma for monitoring a process standard deviation

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Quality control of surgical and interventional procedures: a review of the cusum

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Concept drift monitoring and diagnostics of supervised learning models via score vectors

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Learning from time-changing data with adaptive windowing

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Integrating structured biological data by kernel maximum mean discrepancy

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Adaptive monitoring method for batch processes based onphasedissimilarityupdatingwithlimitedmodelingdata

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Overcoming catastrophic forgetting in neural networks

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Lora: Low-rank adaptation of large language models

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Adaptive parameterized model predictive control based on reinforcement learning: A synthesis framework

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Output-feedback robust control of uncertain systems via online data-driven learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Online weight-adaptive nonlinear model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing An analytical tuning of mpc control horizon using the hessian condition number

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Adaptivemodelpredictivecontrolformulti-agentsystemsusing twin delayed deep deterministic policy gradient learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A self-calibrating digital twin for space thermionic nuclear reactors under fault conditions

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Dual adaptive model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Learning-basedmodelpredictivecontrolonaquadrotor: Onboard implementation and experimental results

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Real-time multivariable control of directed energy deposition via adaptive model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Continuous adaptive nonlinear model predictive control using spiking neural networks and real-time learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Online dynamics learning for predictive control with an application to aerial robots

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Knode-mpc: Aknowledge-baseddata-drivenpredictivecontrol framework for aerial robots

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Unmatched uncertainty mitigation through neural network supported model predictive control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Verification and Validation for Trustworthy Scientific Machine Learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A continual learning framework for defect recognition in additive manufacturing using a progressive online ridge regression approach

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing B., Mayne, D

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Long-term Forecasting with TiDE: Time-series Dense Encoder

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Quantileregression

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Quantile regression: applications and current research areas

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Deep Learning Tubes for Tube MPC

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Statespacemodelsvs.multi-steppredictors inpredictivecontrol: Arestatespacemodelscomplicatingsafedata-drivendesigns?

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing A multivariate sign ewma control chart

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Optimizing neural networks with kronecker-factored approximate curvature

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Springer

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Intrinsic dimensionality explains the effectiveness of language model fine-tuning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Reinforcement twinning: From digital twins to model-based reinforcement learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Hybrid control for combining model-based and model-free reinforcement learning

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Experienceselectionindeepreinforcementlearningfor control

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A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing The mann-whitney u: A test for assessing whether two independent samples come from the same distribution

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