Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection
Abstract Hepatitis C is the liver disease caused by the Hepatitis C virus (HCV) which can lead to serious health problems such as liver cancer. In this research work, the non‐linear model of HCV having three state variables (uninfected hepatocytes, infected hepatocytes and virions) and two control i...
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| Format: | Article |
| Language: | English |
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Wiley
2021-04-01
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| Series: | IET Systems Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/syb2.12014 |
| _version_ | 1811304194709127168 |
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| author | Ali Hamza Iftikhar Ahmad Muhammad Uneeb |
| author_facet | Ali Hamza Iftikhar Ahmad Muhammad Uneeb |
| author_sort | Ali Hamza |
| collection | DOAJ |
| description | Abstract Hepatitis C is the liver disease caused by the Hepatitis C virus (HCV) which can lead to serious health problems such as liver cancer. In this research work, the non‐linear model of HCV having three state variables (uninfected hepatocytes, infected hepatocytes and virions) and two control inputs has been taken into account, and four non‐linear controllers namely non‐linear PID controller, Lyapunov Redesign controller, Synergetic controller and Fuzzy Logic‐Based controller have been proposed to control HCV infection inside the human body. The controllers have been designed for the anti‐viral therapy in order to control the amount of uninfected hepatocytes to the desired safe limit and to track the amount of infected hepatocytes and virions to their reference value which is zero. One control input is the Pegylated interferon (peg‐IFN‐α) which acts in reducing the infected hepatocytes and the other input is ribavirin which blocks the production of virions. By doing so, the uninfected hepatocytes increase and achieve the required safe limit. Lyapunov stability analysis has been used to prove the stability of the whole system. The comparative analysis of the proposed nonlinear controllers using MATLAB/Simulink have been done with each other and with linear PID. These results depict that the infected hepatocytes and virions are reduced to the desired level, enhancing the rate of sustained virologic response (SVR) and reducing the treatment period as compared with previous strategies introduced in the literature. |
| first_indexed | 2024-04-13T08:01:49Z |
| format | Article |
| id | doaj.art-c44f354c793c4c3ea0b7ca098b4a8bd2 |
| institution | Directory Open Access Journal |
| issn | 1751-8849 1751-8857 |
| language | English |
| last_indexed | 2024-04-13T08:01:49Z |
| publishDate | 2021-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Systems Biology |
| spelling | doaj.art-c44f354c793c4c3ea0b7ca098b4a8bd22022-12-22T02:55:16ZengWileyIET Systems Biology1751-88491751-88572021-04-01152537110.1049/syb2.12014Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infectionAli Hamza0Iftikhar Ahmad1Muhammad Uneeb2Department of Electrical Engineering School of Electrical Engineering and Computer Science National University of Sciences and Technology (NUST) Islamabad PakistanDepartment of Electrical Engineering School of Electrical Engineering and Computer Science National University of Sciences and Technology (NUST) Islamabad PakistanDepartment of Electrical Engineering School of Electrical Engineering and Computer Science National University of Sciences and Technology (NUST) Islamabad PakistanAbstract Hepatitis C is the liver disease caused by the Hepatitis C virus (HCV) which can lead to serious health problems such as liver cancer. In this research work, the non‐linear model of HCV having three state variables (uninfected hepatocytes, infected hepatocytes and virions) and two control inputs has been taken into account, and four non‐linear controllers namely non‐linear PID controller, Lyapunov Redesign controller, Synergetic controller and Fuzzy Logic‐Based controller have been proposed to control HCV infection inside the human body. The controllers have been designed for the anti‐viral therapy in order to control the amount of uninfected hepatocytes to the desired safe limit and to track the amount of infected hepatocytes and virions to their reference value which is zero. One control input is the Pegylated interferon (peg‐IFN‐α) which acts in reducing the infected hepatocytes and the other input is ribavirin which blocks the production of virions. By doing so, the uninfected hepatocytes increase and achieve the required safe limit. Lyapunov stability analysis has been used to prove the stability of the whole system. The comparative analysis of the proposed nonlinear controllers using MATLAB/Simulink have been done with each other and with linear PID. These results depict that the infected hepatocytes and virions are reduced to the desired level, enhancing the rate of sustained virologic response (SVR) and reducing the treatment period as compared with previous strategies introduced in the literature.https://doi.org/10.1049/syb2.12014cancercellular biophysicscontrol system synthesisdiseasesfuzzy controlliver |
| spellingShingle | Ali Hamza Iftikhar Ahmad Muhammad Uneeb Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection IET Systems Biology cancer cellular biophysics control system synthesis diseases fuzzy control liver |
| title | Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection |
| title_full | Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection |
| title_fullStr | Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection |
| title_full_unstemmed | Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection |
| title_short | Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection |
| title_sort | fuzzy logic and lyapunov based non linear controllers for hcv infection |
| topic | cancer cellular biophysics control system synthesis diseases fuzzy control liver |
| url | https://doi.org/10.1049/syb2.12014 |
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