Saturated Super-Twisting Algorithm based on Perturbation Estimator

Ismael Castillo; Martin Steinberger; Leonid Fridman; Jaime A. Moreno; Martin Horn

Saturated Super-Twisting Algorithm based on Perturbation Estimator

Ismael Castillo, Martin Steinberger, Leonid Fridman, Jaime A. Moreno, Martin Horn

Institute of Automation and Control (4430)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

A Saturated Sliding Mode Controller based on Super-Twisting Algorithm and Perturbation Estimator is presented. With the implementation of the perturbation estimator, Saturated Super-Twisting Algorithm is able to use the entry range of control signal to compensate Lipschitz perturbations ensuring the global finite-time stability of the origin at the maximum rate of convergence that the saturated control signal can offer.

Original language	English
Title of host publication	Proceedings of the 55th IEEE Conference on Decision and Control
Pages	7325-7328
Number of pages	6
Publication status	Published - 2016

Cite this

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title = "Saturated Super-Twisting Algorithm based on Perturbation Estimator",

abstract = "A Saturated Sliding Mode Controller based on Super-Twisting Algorithm and Perturbation Estimator is presented. With the implementation of the perturbation estimator, Saturated Super-Twisting Algorithm is able to use the entry range of control signal to compensate Lipschitz perturbations ensuring the global finite-time stability of the origin at the maximum rate of convergence that the saturated control signal can offer.",

author = "Ismael Castillo and Martin Steinberger and Leonid Fridman and Moreno, {Jaime A.} and Martin Horn",

year = "2016",

language = "English",

pages = "7325--7328",

booktitle = "Proceedings of the 55th IEEE Conference on Decision and Control",

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T1 - Saturated Super-Twisting Algorithm based on Perturbation Estimator

AU - Castillo, Ismael

AU - Steinberger, Martin

AU - Fridman, Leonid

AU - Moreno, Jaime A.

AU - Horn, Martin

PY - 2016

Y1 - 2016

N2 - A Saturated Sliding Mode Controller based on Super-Twisting Algorithm and Perturbation Estimator is presented. With the implementation of the perturbation estimator, Saturated Super-Twisting Algorithm is able to use the entry range of control signal to compensate Lipschitz perturbations ensuring the global finite-time stability of the origin at the maximum rate of convergence that the saturated control signal can offer.

AB - A Saturated Sliding Mode Controller based on Super-Twisting Algorithm and Perturbation Estimator is presented. With the implementation of the perturbation estimator, Saturated Super-Twisting Algorithm is able to use the entry range of control signal to compensate Lipschitz perturbations ensuring the global finite-time stability of the origin at the maximum rate of convergence that the saturated control signal can offer.

M3 - Conference paper

SP - 7325

EP - 7328

BT - Proceedings of the 55th IEEE Conference on Decision and Control

ER -

Saturated Super-Twisting Algorithm based on Perturbation Estimator

Abstract

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