Sliding mode identification and control for linear uncertain stochastic systems

Michael Basin; Alejandra Ferreira; Leonid Fridman

doi:10.1109/cdc.2006.377075

Sliding mode identification and control for linear uncertain stochastic systems

Michael Basin, Alejandra Ferreira, Leonid Fridman

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

This paper presents the integral sliding mode technique applied to identifying disturbances and robustifying the optimal linear quadratic Gaussian (LQG) controller for linear uncertain stochastic systems, which is compared to the conventional sliding mode approach. The obtained identifier/controller provides a method for estimating uncertainty values and ensures robustness of the system against perturbations throughout the entire response starting from the initial time instant. Numerical simulations illustrating the obtained results are given for the inverted pendulum system.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	1339-1344
Número de páginas	6
ISBN (versión impresa)	1424401712, 9781424401710
DOI	https://doi.org/10.1109/cdc.2006.377075
Estado	Publicada - 2006
Publicado de forma externa	Sí
Evento	45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, Estados Unidos Duración: 13 dic. 2006 → 15 dic. 2006

Serie de la publicación

Nombre	Proceedings of the IEEE Conference on Decision and Control
ISSN (versión impresa)	0743-1546
ISSN (versión digital)	2576-2370

Conferencia

Conferencia	45th IEEE Conference on Decision and Control 2006, CDC
País/Territorio	Estados Unidos
Ciudad	San Diego, CA
Período	13/12/06 → 15/12/06

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10.1109/cdc.2006.377075

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Basin, M., Ferreira, A., & Fridman, L. (2006). Sliding mode identification and control for linear uncertain stochastic systems. En Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC (pp. 1339-1344). Artículo 4177689 (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/cdc.2006.377075

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title = "Sliding mode identification and control for linear uncertain stochastic systems",

abstract = "This paper presents the integral sliding mode technique applied to identifying disturbances and robustifying the optimal linear quadratic Gaussian (LQG) controller for linear uncertain stochastic systems, which is compared to the conventional sliding mode approach. The obtained identifier/controller provides a method for estimating uncertainty values and ensures robustness of the system against perturbations throughout the entire response starting from the initial time instant. Numerical simulations illustrating the obtained results are given for the inverted pendulum system.",

author = "Michael Basin and Alejandra Ferreira and Leonid Fridman",

note = "Funding Information: This research has made use of the SIMBAD data base, operated at CDS, Strasbourg, France. This work has made use of data from the European Space Agency (ESA) mission Gaia (http://www. cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://www.cosmos.esa.int/ web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.; 45th IEEE Conference on Decision and Control 2006, CDC ; Conference date: 13-12-2006 Through 15-12-2006",

year = "2006",

doi = "10.1109/cdc.2006.377075",

language = "Ingl{\'e}s",

isbn = "1424401712",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1339--1344",

booktitle = "Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC",

address = "Estados Unidos",

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Basin, M, Ferreira, A & Fridman, L 2006, Sliding mode identification and control for linear uncertain stochastic systems. En Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC., 4177689, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 1339-1344, 45th IEEE Conference on Decision and Control 2006, CDC, San Diego, CA, Estados Unidos, 13/12/06. https://doi.org/10.1109/cdc.2006.377075

Sliding mode identification and control for linear uncertain stochastic systems. / Basin, Michael; Ferreira, Alejandra; Fridman, Leonid.
Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC. Institute of Electrical and Electronics Engineers Inc., 2006. p. 1339-1344 4177689 (Proceedings of the IEEE Conference on Decision and Control).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Basin, Michael

AU - Ferreira, Alejandra

AU - Fridman, Leonid

N1 - Funding Information: This research has made use of the SIMBAD data base, operated at CDS, Strasbourg, France. This work has made use of data from the European Space Agency (ESA) mission Gaia (http://www. cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://www.cosmos.esa.int/ web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

PY - 2006

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N2 - This paper presents the integral sliding mode technique applied to identifying disturbances and robustifying the optimal linear quadratic Gaussian (LQG) controller for linear uncertain stochastic systems, which is compared to the conventional sliding mode approach. The obtained identifier/controller provides a method for estimating uncertainty values and ensures robustness of the system against perturbations throughout the entire response starting from the initial time instant. Numerical simulations illustrating the obtained results are given for the inverted pendulum system.

AB - This paper presents the integral sliding mode technique applied to identifying disturbances and robustifying the optimal linear quadratic Gaussian (LQG) controller for linear uncertain stochastic systems, which is compared to the conventional sliding mode approach. The obtained identifier/controller provides a method for estimating uncertainty values and ensures robustness of the system against perturbations throughout the entire response starting from the initial time instant. Numerical simulations illustrating the obtained results are given for the inverted pendulum system.

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M3 - Contribución a la conferencia

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BT - Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 45th IEEE Conference on Decision and Control 2006, CDC

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Sliding mode identification and control for linear uncertain stochastic systems

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