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Skip to Search Results- 16Model Predictive Control
- 6Distributed parameter systems
- 2Estimation
- 2MPC
- 2Machine Learning
- 2Optimal Control
- 3Dubljevic, Stevan (Chemical and Materials Engineering)
- 2Huang, Biao (Chemical and Materials Engineering)
- 2Stevan Dubljevic (Department of Chemical and Materials Engineering)
- 2Trivedi, Japan (Department of Civil and Environmental Engineering)
- 1 Koch, Charles Robert (Department of Mechanical engineering)
- 1Barczyk, Martin (Mechanical Engineering)
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Spring 2013
Catalytic reactors have widespread applications in chemical and petrochemical industries. The most well known type of catalytic reactors are fixed-bed or packed-bed reactors where the reaction takes place on the surface of the catalyst. One of the most important phenomena that takes place in a...
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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...
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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...
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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...
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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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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...
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Fall 2019
This thesis aims to develop a motion control strategy for an Unmanned Aerial Vehicle (UAV) to execute a pursuit algorithm based on a vision based object detection algorithm. This enables a pursuer UAV to follow a target UAV based on images obtained from the onboard camera of the pursuer. The UAV...
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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...
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Model Predictive Control of Non-Isothermal Dispersive Chemical Tubular Reactors with Recycle Flow
DownloadFall 2020
Tubular reactors have widespread applications in petrochemical, biochemical and pharmaceutical unit operations. The design of a control law, which accounts for stabilization of the concentration and the temperature of the chemical component during the reaction in an isothermal/non-isothermal...
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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...