ROBUST H_∞ CONTROLLER FOR BILINEAR SYSTEM TO MINIMIZE HIV CONCENTRATION IN BLOOD PLASMA

• Main Author: SAPUTRA (NIM: 20116031), JONATHAN
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/28308
• Institution: Institut Teknologi Bandung

Human Immunodeficiency Virus (HIV) is a type of virus which attacks CD4^+ T cells. Insufficient numbers of CD4^+ T cells will affect the performance of immunity systems so that someone become more risky to have AIDS or other diseases. HIV phenomenon is modelled as nonlinear system with disturbance, but there is no exact method to solve problems that related with analyzing nonlinear systems with control treatment. Thus, the nonlinear system is approximated into a bilinear system by using Carleman Bilinearization method. A robust H_∞ controller is designed as a control input to accomodate the disturbances in the dynamic system. Generally, the treatment for HIV is merely to obstruct the replication process. Therefore, the robust control input is described as the chemotherapy of hypothetical drugs which aimed to clear off the HIV concentration in blood plasma. Robust H_∞ control is built with the coefficient matrix of the bilinear system. The simulation result is analyzed by comparing the effect of the robust control toward bilinear and nonlinear system. From numerical simulations, an individual will experience heavy symptomps if the hypothetical drugs chemotherapy is not given. This finding is strengthening the urgency of robust control as a chemotherapy with a waiting time. Based on the numerical simulation with robust H_∞ control input, bilinear system has trends that give similar interpretation with the trends of nonlinear system. Besides that, robust H_∞ control on bilinear system has demolishing speed of HIV concentration and infected CD4^+ T cells concentration which approximately equal to the demolishing speed from nonlinear system. It is concluded that the used of H_∞ robust control on bilinear system makes the bilinear system approximates the performance of nonlinear system in an effective and representative way.