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Ghods, Masoud | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43224 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Bozorgmehri, Ramin
  7. Abstract:
  8. Application of the advanced control techniques and information technology in the biomedical engineering have been the focal point of the research communities in biomedical engineering due to the rapid growth of the nonlinear control theories along with the computer hardware. In this work the application of differential geometry and globally linearizing control has been applied to efficiently control the first phase of HIV disease based on the HIV infection model proposed in the literature. All the efforts have been in the way to obtain a suitable scenario of drug administration to suppress and control the infection. In the proposed scenario, drug administration is time dependant and completely depends on the history of the treatment and its efficacy on the patient disease status, where as in the traditional drug administration scenario the patient is treated based on a fixed and high dose medication in which the patient suffers from the side effects of the medication. This study is performed first in continuous time space and then, because of discrete nature of the process, the scenario has been designed based on the discrete time space. A Luenberger-Like observer was accompanied to linear and nonlinear controllers to provide the estimated states for the controllers. Furthermore, the notion of pharmacokinetic and pharmaco-dynamics have been used to simulate the amount and efficacy of the drug in the body of infected person through the time. The drug administration scenarios have been designed to lead the patient condition to two biologically specified conditions, suitable condition and standard condition. Results indicate that it is possible to obtain efficient and time dependant scenarios which convey the patient condition to desirable points while alleviating the side effects of the therapy
  9. Keywords:
  10. HIV Infection ; Exact Linearizing Controller ; Pharmacokinetic ; Pharmacodynamic ; Leunberger-Like Observer

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