کنفرانس مهندسی برق ایران

صفحه اصلی / بیست و نهمین کنفرانس مهندسی برق ایران

HIV Virus States Estimation by Extended Kalman Particle Filter

نویسندگان :

Meysam Hooshmand¹ Mahtab Sharifian² Hamid Sharifian³ Javad Mahmoudi⁴

1- شرکت توزیع نیروی برق خراسان شمالی/دانشگاه سمنان 2- دانشگاه فردوسی مشهد 3- شرکت توزیع خراسان شمالی 4- دانشگاه تربیت دبیر شهید رجایی

کلمات کلیدی :

HIV Virus, Particle Filter, Extended Kalman Filter,Resampling

چکیده :

Due to the HIV prevalence, the problem of controlling and predicting the states and parameters of this disease has attracted many scholars and researchers. Because of the nonlinearity of the equations of this disease, in order to estimate its states, Particle Filter has been applied which use a suitable resampling method. due to the importance of being accurate in estimating the states of this disease, the Extended Kalman Filter has been used in determining the optimal probable density function in a Particle Filter. In this paper, by combining a particle filter and an extended Kalman filter called EKPF, an attempt is made to estimate the status and parameters of the HIV equations. The simulation results confirm the accuracy of state estimating of the disease using the proposed Filter.