Search
Skip to Search Results- 16Model Predictive Control
- 2MPC
- 2Machine Learning
- 1Advanced Process Control
- 1Assisted History Matching
- 1Cardiac Alternans
- 2Huang, Biao (Chemical and Materials Engineering)
- 2Trivedi, Japan (Department of Civil and Environmental Engineering)
- 1 Koch, Charles Robert (Department of Mechanical engineering)
- 1Barczyk, Martin (Mechanical Engineering)
- 1Biao Huang (Chemical and Materials Engineering)
- 1Biao Huang (Department of Chemical and Materials Engineering)
-
Advanced Closed-Loop Reservoir Management for Computationally Efficient Data Assimilation and Real-Time Production Optimization of SAGD Reservoirs
DownloadSpring 2018
Steam-assisted gravity drainage (SAGD), an in-situ thermal oil recovery method is successfully utilized to extract bitumen from the Canadian oil sands. To improve the reservoir performance, an idea of closed-loop reservoir management (CLRM) was proposed that comprises near-continuous data...
-
Design, Analysis, and Control of the Modular Multilevel DC/DC Converter for Medium- and High-Voltage DC Grids
DownloadFall 2022
Nowadays, renewable energy sources have gained escalating importance due to environmental and economic reasons. However, these energy sources are primarily located in remote areas and distant from load centers. High-voltage dc (HVDC) and medium-voltage dc (MVDC) systems have been proposed in the...
-
Fall 2017
In this thesis, we propose a computationally efficient economic model predictive control (EMPC) design which is based on a well-known methodology --- the separation of the control and prediction horizon. The extension of the prediction horizon of EMPC is realized by employing an auxiliary control...
-
Spring 2024
Advanced process control has been considered as a promising tool for addressing various control objectives for complex industrial applications, including ensuring safe operation, reducing operational cost, improving process efficiency, achieving more environmentally friendly practices, etc....
-
Fall 2022
Internal Combustion Engines (ICEs) are ubiquitous; they power a wide range of systems. The broad use of ICEs globally causes more than 20% of the total greenhouse gas emissions. In many countries, emission legislation is transitioning from certification using only traditional chassis dynomometer...
-
Spring 2017
Distributed parameter systems (DPS) are models of fundamental conservation laws in industrial processes, such as chemical, petroleum, metallurgical and solar thermal energy processes. The major drawback of DPS models is that they take form of partial differential equations (PDEs) containing...
-
Spring 2015
Distributed parameter systems (DPSs) are distinguished by the fact that the states, controls, and outputs may depend on spatial position. The certain class of dissipative DPSs includes many underlying chemical and mechanical spatiotemporal phenomena such as chemical reactions, convection and...
-
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...
-
Spring 2013
In the steam methane reforming process, improvement of the reformed gas outlet temperature control performance can lead to a larger hydrogen production rate, while ensuring safe process operation. In this work, a side fired primary gas reformer is investigated. The three objectives of this work...
-
Fall 2014
The presence of alternans, which is a persistent alternation in the cardiac action potential duration, has been linked to the onset of ventricular arrhythmia, which may lead to sudden cardiac death. In this thesis, we examine the problem of alternans annihilation in a 1D cable of cardiac cells...