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10.1016/j.bspc.2020.102317 http://scihub22266oqcxt.onion/10.1016/j.bspc.2020.102317 33173541!7641596!33173541     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Signal+Process+Control 2021 ; 64 (ä): 102317 Nephropedia Template TP {{tp|p=33173541|t=2021. Control of COVID-19 system using a novel nonlinear robust control algorithm |pdf=|usr=}}{{33173541}} gab.com Text Control of COVID-19 system using a novel nonlinear robust control algorithm JO: Biomed Signal Process Control http://www.kidney.de/pget.php?&tw=1&pmid=33173541 #FOAvip 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. Twit Text FOAVip Control of COVID-19 system using a novel nonlinear robust control algorithm ????Biomed Signal Process Control http://www.kidney.de/pget.php?&tw=1&pmid=33173541 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33173541 #FOAvip English Wikipedia <ref>{{Cite pmid|33173541}}</ref> Control of COVID-19 system using a novel nonlinear robust control algorithm #MMPMID33173541 Hadi MA; Ali HI Biomed Signal Process Control 2021[Feb]; 64 (ä): 102317 PMID33173541show ga 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. äControl of COVID-19 system using a novel nonlinear robust control algo(epmc).pdf DeepDyve Pubget Overpricing