کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
491857 720989 2008 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gas–liquid separator modelling and simulation with Gaussian-process models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Gas–liquid separator modelling and simulation with Gaussian-process models
چکیده انگلیسی

The Gaussian-process (GP) model is an example of a probabilistic, nonparametric model with uncertainty predictions. It can be used for the modelling of complex nonlinear systems and also for dynamic systems identification. The output of the GP model is a normal distribution, expressed in terms of the mean and variance. The modelling case study of a gas–liquid separator is presented in this paper. It describes the comparison of three methods for dynamic GP model simulation in the phase of model validation. The level of the computational burden associated with each approach increases with the complexity of the computation necessary for an approximation of the uncertainty propagation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Simulation Modelling Practice and Theory - Volume 16, Issue 8, September 2008, Pages 910–922
نویسندگان
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