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Sensitivity-Based Scenario Selection for Multi-Stage Mpc Along Principal Components: Applied to Robust Thermal Energy Storage Operation
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A data‐driven multistage adaptive robust optimization framework for planning and scheduling under uncertainty
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Principal Component Analysis and Factor Analysis
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Model predictive heuristic control
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Robust model predictive control of constrained linear systems with bounded disturbances
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Improving scenario decomposition algorithms for robust nonlinear model predictive control
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Data-driven robust optimization based on kernel learning
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Stochastic model predictive control — how does it work?
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Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods
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Economics optimizing control of a multi-product reactive distillation process under model uncertainty
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Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency
inferredcites →https://doi.org/10.1016/j.ifacol.2016.07.213openalex-extracted
A robust NMPC scheme for semi-batch polymerization reactors
inferredcites →https://doi.org/10.1016/j.ifacol.2018.11.036openalex-extracted
Nonlinear Model Predictive Control with Explicit Backoffs for Stochastic Systems under Arbitrary Uncertainty
inferredcites →https://doi.org/10.1016/j.ifacol.2018.11.046openalex-extracted
Data-driven Scenario Selection for Multistage Robust Model Predictive Control
inferredcites →https://doi.org/10.1016/j.ifacol.2019.06.105openalex-extracted
Data-driven Online Adaptation of the Scenario-tree in Multistage Model Predictive Control
inferredcites →https://doi.org/10.1016/j.jprocont.2013.08.008openalex-extracted
Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty
inferredcites →https://doi.org/10.1016/j.jprocont.2014.05.008openalex-extracted
Handling uncertainty in economic nonlinear model predictive control: A comparative case study
inferredcites →https://doi.org/10.1016/j.jprocont.2018.07.004openalex-extracted
Robust feasible control based on multi-stage eNMPC considering worst-case scenarios
inferredcites →https://doi.org/10.1016/j.jprocont.2019.05.007openalex-extracted
Multistage NMPC with on-line generated scenario trees: Application to a semi-batch polymerization process
inferredcites →https://doi.org/10.1021/ie00043a029openalex-extracted
Stable Decomposition for Dynamic Optimization
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Min-max feedback model predictive control for constrained linear systems
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Feedback min-max model predictive control based on a quadratic cost function
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Nonlinear model predictive control of a four tank system: An experimental stability study
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Nonlinear Model Predictive Control of a Four Tank System: An Experimental Stability Study
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Data-Driven Tube-based Model Predictive Control of an Industrial Thickener
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Julia: A Fresh Approach to Numerical Computing
inferredcites →https://doi.org/10.1137/15m1020575openalex-extracted
JuMP: A Modeling Language for Mathematical Optimization
inferredcites →https://doi.org/10.23919/ecc.2013.6669521openalex-extracted
Robust nonlinear model predictive control of a batch bioreactor using multi-stage stochastic programming
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A new Robust NMPC Scheme and its Application to a Semi-batch Reactor Example
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Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network
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Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters
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