New convergence conditions for the super twisting algorithm with uncertain input gain

Alessandro Colotti; Dominique Monnet; Alexandre Goldsztejn; Franck Plestan

doi:10.1016/j.automatica.2022.110423

Journal Articles Automatica Year : 2022

New convergence conditions for the super twisting algorithm with uncertain input gain

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1

Alessandro Colotti

Function : Author
PersonId : 1219547
IdHAL : alessandro-colotti
ORCID : 0000-0001-6852-4706

Laboratoire des Sciences du Numérique de Nantes

Dominique Monnet

Function : Author

Laboratoire des Sciences du Numérique de Nantes

Alexandre Goldsztejn

Function : Author
PersonId : 17099
IdHAL : alexandre-goldsztejn
ORCID : 0000-0002-6561-5888
IdRef : 096006706

Laboratoire des Sciences du Numérique de Nantes

Franck Plestan

Function : Author

Laboratoire des Sciences du Numérique de Nantes

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Computer Science [cs]

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https://hal.science/hal-03868734

Submitted on : Friday, November 25, 2022-10:53:15 AM

Last modification on : Friday, December 16, 2022-9:37:08 AM

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hal-03868734 , version 1 (25-11-2022)

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HAL Id : hal-03868734 , version 1
DOI : 10.1016/j.automatica.2022.110423

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Alessandro Colotti, Dominique Monnet, Alexandre Goldsztejn, Franck Plestan. New convergence conditions for the super twisting algorithm with uncertain input gain. Automatica, 2022, 143, pp.110423. ⟨10.1016/j.automatica.2022.110423⟩. ⟨hal-03868734⟩

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New convergence conditions for the super twisting algorithm with uncertain input gain

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