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This paper proposes a new optimisation method, the Parallel Asynchronous Surrogate Model (PASM) method, which is based on the surrogate models approximation and takes advantage of the asynchronous, parallel processing threads.
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The spectra are discussed with the framework of oriented gas model approximation and group theory.
The spectra are discussed on the basis of oriented gas model approximation and group theory.
The method tolerates system gain uncertainty and involves two set of nonlinear computations: model approximation and five-parameter FOPID calculations.
The working principle of this method, however, leads to a gradual accumulation of diameter and roundness errors following model approximation and part building.
The identification task is reported on a fixed-order controller using for the first time the Loewner approach, known for model approximation and reduction.
This method does not only dynamically compensate for shortcoming caused by static decoupling but also overcomes the impact of model error on system performance caused by model approximation and uncertainty.
In addition, the design of the genetic algorithm-based adaptation routine ensures that the parameter values found are suitable for the model approximation and hypotheses, and complies with the problem domain features providing correct and realistic model outputs.
The contributions of the paper lie in the first specification and application of recent (i) model approximation and (ii) H∞ structured controller tuning techniques on a complex aeroelastical aircraft model, used by engineers to design control strategies.
The slit model approximation and the drift flux Kozeny Carman approach were extended for the derivation of appropriate drag force closures required in the conservation equations, respectively, in the trickle flow regime and in the dispersed bubble flow regime.
It is well known that a real system inevitably contains some uncertain parameters because of work environment change, measure error, model approximation and so on.
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CEO of Professional Science Editing for Scientists @ prosciediting.com