Proposing a Control Method for Influenza Disease

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Mahmoodi, Marjan | 2016

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 48829 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Shahrokhi, Mohammad
Abstract:
Immediate control of pandemic influenza to avoid casualties and financial losses is an important issue. In this thesis, two types of controllers including optimal controller and adaptive generalized predictive controller based on linear input-output model, with vaccine, treatment and quarantine being controlling variables, have been used to control influenza. Each controlling methods were investigated for different states including single-input single-output and multi-input single-output. Single-input single-output and multi-input single-output models are identified as online and offline using least squares method. Since it is difficult to exactly identify the model parameters, especially at the beginning of pandemic, performance comparison of optimal controller and adaptive generalized predictive control, including model mismatch, were carried out. Simulation results indicate that generalized predictive control has superior performance compared to optimal controller
Keywords:
System Identification ; Optimal Control ; Predictive Controller ; Model Mismatch ; Systems Engineering ; Influenza

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