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Skip to Search Results- 1Arifin, B M Sirajeel
- 1Gnanasekar, Aristarchus
- 1Rahal, Said Salim
- 1Rahim, Shahed
- 1Shahandeh, Hossein
- 1Shen, Wenhan
- 2Uncertainty
- 1Bitumen upgrading
- 1Chance Constrained Model Predictive Control
- 1Change Detection
- 1Control Valve Stiction
- 1Decision rules
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Spring 2017
Model Predictive Control (MPC) is widely applied in the process industry nowadays. Chemical processes are corrupted by all kinds of uncertainties, such as measurement noises, disturbances and parameter uncertainties. Without consideration of uncertainties, conventional MPC will cause various...
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Spring 2016
In data-driven modelling, model accuracy relies heavily on the data set collected from target process. However, various types of measurement noise exist extensively in industrial processes and the data obtained are usually contaminated. If the influence of measurement noise is neglected, both the...
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Fall 2023
With the advances made in machine learning and data science, data-driven modeling and optimization techniques have garnered significant attention in recent years. However, despite the availability of various data-driven methods for addressing optimization problems under uncertainty, their...
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Fall 2021
This thesis aims to investigate, develop and advance solution techniques for optimization under uncertainty in process control, scheduling and operations research applications. Decision rule methods offer a rich and flexible framework for solving these classes of problems. Recent literature has...
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Fall 2018
Fault Detection, Isolation and Remediation of Real Processes",,eng,"Fault Detection, Change Detection, Leak Detection, Control Valve Stiction, Stiction-Compensation","The goal of process control and monitoring system is to operate the process plants safely, reliably and in fault-free mode. Even a...
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Modeling and Control for Renal Anemia Treatment with Erythropoietin Using Physics-Informed Neural Network
DownloadSpring 2023
Patients with renal anemia are usually treated with recombinant human erythropoietin (EPO) because of insufficient renal EPO secretion. Clinically, this treatment process is labor intensive. It requires trained personnel to assess monthly Hgb levels, consider intra-patient variability and make...
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Modelling and control of hemodialysis systems for better treatment management of Chronic Kidney Disease patients
DownloadFall 2021
Kidneys are essential organs located on either side of the vertebral column which perform several essential bodily functions. When there is a gradual, permanent loss of basic kidney functions, a person is said to have Chronic Kidney Disease (CKD). CKD has been identified to be a global public...
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Fall 2018
Canada has the third largest oil reserves in the world where 97% of these reserves are located in the oil sands, Alberta province. The product resulted from the extraction of oil sands reserves is called bitumen which can be diluted and shipped to the market or it can be proceeded and upgraded...
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Reservoir Geological Uncertainty Reduction and Its Applications in Reservoir Development Optimization
DownloadSpring 2015
Three different studies related to geological uncertainty reduction in reservoir applications are performed in this thesis. The first study proposes an optimal realization reduction framework for quantifying geological uncertainty. The second study applies the optimal realization reduction...