The super-twisting algorithm (STA) is one of the most popular second-order sliding-mode techniques. STA can achieve finite-time convergence to a region of interest called the sliding surface while completely rejecting essentially two types of perturbations (i.e., disturbances): those that vanish toward this surface and those whose total time derivative is bounded. Existing modifications of STA can reject disturbances where the latter bound, instead of being constant, can depend on the distance to the sliding surface in some specific forms. However, a general design framework allowing for perturbations of arbitrary growth was missing and was recently provided by Disturbance-Tailored Super-Twisting (DTST). In this chapter, the main concepts, requirements, and properties involved in DTST are explained.


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    Titel :

    Generalized Super-Twisting with Robustness to Arbitrary Disturbances: Disturbance-Tailored Super-Twisting (DTST)


    Weitere Titelangaben:

    Studies in Systems, Decision and Control


    Beteiligte:
    Oliveira, Tiago Roux (Herausgeber:in) / Fridman, Leonid (Herausgeber:in) / Hsu, Liu (Herausgeber:in) / Haimovich, Hernan (Autor:in)


    Erscheinungsdatum :

    01.11.2023


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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