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Skip to Search Results- 11Model Predictive Control
- 1Cardiac Alternans
- 1Distributed Parameter Systems
- 1Distributed parameter systems
- 1Economic MPC
- 1Economic Performance
- 2Huang, Biao (Chemical and Materials Engineering)
- 1Biao Huang (Chemical and Materials Engineering)
- 1Biao Huang (Department of Chemical and Materials Engineering)
- 1Dr. Biao Huang (Department of Chemical and Materials Engineering)
- 1Dr. Zukui Li (Department of Chemical and Materials Engineering)
- 1Dubljevic, Stevan (Chemical and Materials Engineering)
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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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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....
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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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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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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 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...
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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 2022
The dynamic control of heat exchanger network is important for developing energy efficient and safe industrial processes. In Chapter 3 of this work, the uncertainty is considered in inlet temperature of hot stream. The cold stream is bypassed around the heat exchanger. This work aims to track the...
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Predictive Control, Estimation and Sensor Placement of Large-Scale Transport-Reaction Systems
DownloadFall 2023
Advanced process control and monitoring rely on the accurate description of complex processes and their dynamic behaviors. Typically, numerous industrial processes are characterized by either partial differential equations (PDEs) or ordinary differential equations (ODEs), depending on whether...
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Robust Probabilistic Slow Feature Analysis for Soft Sensor Development and Model Quality Assessment
DownloadFall 2022
Model predictive control (MPC) is a popular advanced control technology. Unfortunately, over time the behaviour of the plant may deviate from its initial design conditions resulting in model-plant-mismatch. The detection and diagnosis of such mismatches is an important task to ensure that MPC...