Open access Journal SINTA 1
Optimal control design of the COVID-19 model based on Lyapunov function and genetic algorithm
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 5 (2024)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2024-10-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
Millions of people died worldwide as a result of the coronavirus disease 2019 (COVID-19) pandemic that started in early 2020. Examining the COVID-19 susceptible-exposed-infected-recovery (SEIR) mathematical model is one approach to developing the best control scenario for this disease. The study utilized two control variables, vaccination, and therapy, to construct a control function that relied on the quadratic Lyapunov function. The control objective was to lower the number of COVID-19 infections while maintaining system stability. A genetic algorithm (GA) is used as a novel method to estimate controller parameter value to replace the previously used parameter tuning procedure. Then, a numerical simulation was carried out implementing three control scenarios, namely vaccination control only, treatment control only, and vaccination and treatment control simultaneously. Based on the results, scenario 3 (vaccination and treatment simultaneously) showed the most significant decrease: the average decrease in the exposed human population was 98.29%, and the infected human population was 98.18%.
Collaboration network of the authors
37 authors · 70 co-authorship links · 12 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Bandung Institute of Technology
- Institut Teknologi Telkom Purwokerto
- Riau University
- Binus University
- Institut Teknologi Del
- Universitas Prasetiya Mulya
- University of Indonesia
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Khozin Mu’tamar | Riau University | 5 |
| Janson Naiborhu | Bandung Institute of Technology | 5 |
| Dewi Suhika | Bandung Institute of Technology | 4 |
| Mochamad Apri | Bandung Institute of Technology | 4 |
| Asysta Amalia Pasaribu | Binus University | 2 |
| Dian Kartika Sari | Institut Teknologi Telkom Purwokerto | 2 |
| Tegar Arifin Prasetyo | Institut Teknologi Del | 2 |
| Hanna Hilyati Aulia | Affiliation unknown | 2 |
| Suhono Harso Supangkat | Bandung Institute of Technology | 1 |
| Sinung Suakanto | Bandung Institute of Technology | 1 |
| Suhardi Suhardi | Bandung Institute of Technology | 1 |
| Ayomi Sasmito | Universitas Prasetiya Mulya | 1 |
| Audri Utami Gunadi | Bandung Institute of Technology | 1 |
| Ria Nurlita Rachmawati | Bandung Institute of Technology | 1 |
| Susilo Susilo | Affiliation unknown | 1 |
| Gufron Amirullah | Affiliation unknown | 1 |
| Rizkia Suciati | Affiliation unknown | 1 |
| Sutarno | Affiliation unknown | 1 |
| Rena Lestari | Affiliation unknown | 1 |
| Annisa Puji Astuti | Affiliation unknown | 1 |
| Deni Parlindungan | Affiliation unknown | 1 |
| Prihantini Prihantini | Bandung Institute of Technology | 1 |
| Bidayatul Masulah | Affiliation unknown | 1 |
| Nurhamidah Nurhamidah | Affiliation unknown | 1 |
| Wardah Izzati Agustiningtias | Affiliation unknown | 1 |
| Yosie Andriani | Affiliation unknown | 1 |
| Prihantini | Affiliation unknown | 1 |
| Bambang Riyanto | Bandung Institute of Technology | 1 |
| Widowati Widowati | Affiliation unknown | 1 |
| Nurliana Nurliana | Affiliation unknown | 1 |
| Roma Wijaya | Affiliation unknown | 1 |
| Dian Permata Sari | Affiliation unknown | 1 |
| Arifuddin M. Arif | Affiliation unknown | 1 |
| Yati Afiyanti | University of Indonesia | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.