2018
DOI: 10.1016/j.ifacol.2018.11.003
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Advanced-step Multistage Nonlinear Model Predictive Control

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Cited by 8 publications
(2 citation statements)
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“…This problematic issue can be tackled by the use of the robust horizon approach (modeling of the scenario tree until a certain stage) or using parallelizable decomposition methods for simplification of the scenario tree . Different works , have shown that a multistage optimization is a promising approach for the solution of dynamic optimization problems under uncertainties. This approach allows including different types of uncertainties and assuming a robust horizon to be applied for real-time industrial applications.…”
Section: Optimization Under Uncertaintymentioning
confidence: 99%
See 1 more Smart Citation
“…This problematic issue can be tackled by the use of the robust horizon approach (modeling of the scenario tree until a certain stage) or using parallelizable decomposition methods for simplification of the scenario tree . Different works , have shown that a multistage optimization is a promising approach for the solution of dynamic optimization problems under uncertainties. This approach allows including different types of uncertainties and assuming a robust horizon to be applied for real-time industrial applications.…”
Section: Optimization Under Uncertaintymentioning
confidence: 99%
“…A multilayer optimization-based control strategy is proposed for economic optimization, fulfillment of safety constraints, and improvement of control performance under three types of uncertainties: internal (model mismatches), external (costs variations), and an unknown process disturbance. Until now, multistage approaches have been presented for being used in the one-layer control architectures, for handling uncertainties. These approaches, based on a centralized structure, use a purely economic objective function (direct optimizing control), a pure tracking objective function, or a mix of both.…”
Section: Introductionmentioning
confidence: 99%