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Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors
Online Feedback Optimization (OFO) controllers steer a system to its optimal operating point by treating optimization algorithms as auxiliary dynamic systems.
Passive learning to address nonstationarity in virtual flow metering applications
Nevertheless, the prediction performance of steady-state models typically degrades with time due to the inherent nonstationarity of the underlying process being modeled.
On gray-box modeling for virtual flow metering
Nevertheless, the results are promising and indicate that gray-box VFMs may reduce the prediction error of a mechanistic VFM while remaining scientifically consistent.
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data
In the case study the modifier adaptation approach is compared with the Bayesian optimization approach.
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study
Virtual flow meters, mathematical models predicting production flow rates in petroleum assets, are useful aids in production monitoring and optimization.
