Browsing Engineering (Faculty of) by Author "Ricardez-Sandoval, Luis A."
Now showing items 1-4 of 4
-
Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks
Wang, Han; Chaffart, Donovan; Ricardez-Sandoval, Luis A. (Elsevier, 2019-12-01)This paper explores the construction and validation of an artificial neural network (ANN) in order to accurately and efficiently predict the performance of a pilot-scale gasifier unit. This ANN model consists of multiple ... -
Multilevel Monte Carlo for noise estimation in stochastic multiscale systems
Kimaev, Grigoriy; Ricardez-Sandoval, Luis A. (Elsevier, 2018-12-01)The purpose of this study is to adapt Multilevel Monte Carlo (MLMC) sampling technique for random noise estimation in stochastic multiscale systems and evaluate the performance of this method. The system under consideration ... -
Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks
Kimaev, Grigoriy; Ricardez-Sandoval, Luis A. (Elsevier, 2019-11-02)The purpose of this study was to employ Artificial Neural Networks (ANNs) to develop data-driven models that would enable the shrinking horizon nonlinear model predictive control of a computationally intensive stochastic ... -
Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach
Chaffart, Donovan; Ricardez-Sandoval, Luis A. (Elsevier, 2018-11-02)This work details the construction and evaluation of a low computational cost hybrid multiscale thin film deposition model that couples artificial neural networks (ANNs) with a mechanistic (first-principles) multiscale ...