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  1. Article: New strategy to control covid-19 pandemic using lead/lag compensator.

    Hadi, Musadaq A / Amean, Zainab M

    Biomedical signal processing and control

    2021  Volume 68, Page(s) 102669

    Abstract: COVID-19 is still the main worldwide issue since the outbreak. Many strategies were implemented such as suppression, mitigation, and mathematical-engineering strategies, to control this pandemic. In this work, a lead/lag compensator is proposed to ... ...

    Abstract COVID-19 is still the main worldwide issue since the outbreak. Many strategies were implemented such as suppression, mitigation, and mathematical-engineering strategies, to control this pandemic. In this work, a lead/lag compensator is proposed to control an unstable Covid-19 nonlinear system after using some required assumptions. The control theory is involved with the unstable pandemic and other existing strategies until the invention of the vaccine is approved. In addition, the Most Valuable Player Algorithm (MVPA) is used to optimize the parameters of the proposed controller and to determine whether it is a lead or lag compensator. Finally, the simulation results are based on the daily reports of two pandemic cities: Hubei (China), and Lazio (Italy) since the outbreak began. It can be concluded that the lead/lag compensator can effectively control the COVID-19 system.
    Language English
    Publishing date 2021-05-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2241886-6
    ISSN 1746-8108 ; 1746-8094
    ISSN (online) 1746-8108
    ISSN 1746-8094
    DOI 10.1016/j.bspc.2021.102669
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Control of COVID-19 system using a novel nonlinear robust control algorithm.

    Hadi, Musadaq A / Ali, Hazem I

    Biomedical signal processing and control

    2020  Volume 64, Page(s) 102317

    Abstract: COVID-19 has been a worldwide concern since the outbreak. Many strategies have been involved such as suppression and mitigation strategies to deal with this epidemic. In this paper, a new mathematical-engineering strategy is introduced in order to ... ...

    Abstract COVID-19 has been a worldwide concern since the outbreak. Many strategies have been involved such as suppression and mitigation strategies to deal with this epidemic. In this paper, a new mathematical-engineering strategy is introduced in order to control the COVID-19 epidemic. Thereby, control theory is involved in controlling the unstable epidemic alongside with the other suggested strategies until the vaccine will hopefully be invented as soon as possible. A new robust control algorithm is introduced to compensate the COVID-19 nonlinear system by propose a proper controller after using necessary assumptions and analysis are made. In addition, the Variable Transformation Technique (VTT) is used to simplify the COVID-19 system. Furthermore, the Most Valuable Player Algorithm (MVPA) is applied in order to optimize the parameters of the proposed controller. The simulation results are based on the daily reports of two cities Hubei (China) and Lazio (Italy) since the outbreak. It can be concluded that the proposed control algorithm can effectively compensate the COVID-19 system. In addition, it can be considered as an effective mathematical-engineering strategy to control this epidemic alongside with the other strategies.
    Keywords covid19
    Language English
    Publishing date 2020-11-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2241886-6
    ISSN 1746-8108 ; 1746-8094
    ISSN (online) 1746-8108
    ISSN 1746-8094
    DOI 10.1016/j.bspc.2020.102317
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Order via subito

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  3. Article: Control of COVID-19 System using A Novel Nonlinear Robust Control Algorithm

    Hadi, Musadaq A. / Ali, Hazem I.

    Biomedical Signal Processing and Control

    Abstract: COVID-19 has been a worldwide concern since the outbreak Many strategies have been involved such as suppression and mitigation strategies to deal with this epidemic In this paper, a new mathematical-engineering strategy is introduced in order to control ... ...

    Abstract COVID-19 has been a worldwide concern since the outbreak Many strategies have been involved such as suppression and mitigation strategies to deal with this epidemic In this paper, a new mathematical-engineering strategy is introduced in order to control the COVID-19 epidemic Thereby, control theory is involved in controlling the unstable epidemic alongside with the other suggested strategies until the vaccine will hopefully be invented as soon as possible A new robust control algorithm is introduced to compensate the COVID-19 nonlinear system by propose a proper controller after using necessary assumptions and analysis are made In addition, the Variable Transformation Technique (VTT) is used to simplify the COVID-19 system Furthermore, the Most Valuable Player Algorithm (MVPA) is applied in order to optimize the parameters of the proposed controller The simulation results are based on the daily reports of two cities Hubei (China) and Lazio (Italy) since the outbreak It can be concluded that the proposed control algorithm can effectively compensate the COVID-19 system In addition, it can be considered as an effective mathematical-engineering strategy to control this epidemic alongside with the other strategies
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #907103
    Database COVID19

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  4. Article ; Online: Control of COVID-19 system using a novel nonlinear robust control algorithm

    Hadi, Musadaq A. / Ali, Hazem I.

    Biomedical Signal Processing and Control

    Volume 64, Page(s) 102317

    Keywords Signal Processing ; Health Informatics ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2241886-6
    ISSN 1746-8108 ; 1746-8094
    ISSN (online) 1746-8108
    ISSN 1746-8094
    DOI 10.1016/j.bspc.2020.102317
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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