Mathematical Modeling and Control of COVID-19 Using Super Twisting Sliding Mode and Nonlinear Techniques | Zendy

Anwer S. Aljuboury | Zendy; Firas Abedi | Zendy; Hanan M. Shukur | Zendy; Zahraa Sabah Hashim | Zendy; Ibraheem Kasim Ibraheem | Zendy; Ahmed Alkhayyat | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Mathematical Modeling and Control of COVID-19 Using Super Twisting Sliding Mode and Nonlinear Techniques

Author(s) -

Anwer S. Aljuboury,

Firas Abedi,

Hanan M. Shukur,

Zahraa Sabah Hashim,

Ibraheem Kasim Ibraheem,

Ahmed Alkhayyat

Publication year - 2022

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2022/8539278

Subject(s) - control theory (sociology) , differentiator , nonlinear system , computer science , state observer , sliding mode control , active disturbance rejection control , covid-19 , pid controller , control (management) , control engineering , engineering , artificial intelligence , infectious disease (medical specialty) , medicine , telecommunications , physics , disease , bandwidth (computing) , pathology , quantum mechanics , temperature control

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research