| Informatics in Medicine Unlocked | 卷:25 |
| Adaptive sliding mode control of HIV-1 infection model | |
| S. Hadipour Lakmesari1  M.J. Mahmoodabadi2  | |
| [1] Department of Mechanical Engineering, Sirjan University of Technology, Sirjan, Iran; | |
| [2] Corresponding author.; | |
| 关键词: HIV-1 model; Infection theory; Sliding mode control; Gradient descent method; Adaptive approach; | |
| DOI : | |
| 来源: DOAJ | |
【 摘 要 】
In modern times, the human immunodeficiency virus (HIV), as a deadly pathogen, imposes harmful effects on human health. Thus, scholars have presented a large body of research on the topic, such as developing an antiretroviral treatment for this viral infection. This study considers a three-state dynamical model of HIV and applies a robust adaptive stabilizer based on a sliding mode controller (SMC) and gradient descent laws for it. To be more precise, the paper presents a control scheme to enhance the number of the CD4+ T cells and reduce the number of the infected CD4+ T cells and free virus particles through the control of the reverse transcriptase inhibitors (RTIs). For this purpose, the sliding mode control is designed for the HIV-1 dynamical system. Then, the gradient descent law is employed to update the control gains. The results reflect the desired performance of the proposed control strategy by presenting a smooth control input and suitable time responses.
【 授权许可】
Unknown