A Model Reference Adaptive Continuous Sliding-Mode Control

Roberto Franco; Hector Rios; Alejandra Ferreira De Loza

doi:10.1109/CDC40024.2019.9029291

A Model Reference Adaptive Continuous Sliding-Mode Control

Roberto Franco, Hector Rios, Alejandra Ferreira De Loza

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

5 Citas (Scopus)

Resumen

This paper deals with the problem of robust tracking for a class of scalar linear systems. To this aim, a nonlinear control law is proposed based on a Model Reference Adaptive Continuous Sliding-Mode Control (MRA Continuous-SMC) approach. Such an approach is composed of nonlinear adaptive gains that provide a rate of convergence faster than exponential and ensure convergence to zero of the tracking error. The corresponding convergence proofs are based on a Lyapunov function approach. Finally, some simulation results show the feasibility of the proposed scheme.

Idioma original	Inglés
Título de la publicación alojada	2019 IEEE 58th Conference on Decision and Control, CDC 2019
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	96-101
Número de páginas	6
ISBN (versión digital)	9781728113982
DOI	https://doi.org/10.1109/CDC40024.2019.9029291
Estado	Publicada - dic. 2019
Evento	58th IEEE Conference on Decision and Control, CDC 2019 - Nice, Francia Duración: 11 dic. 2019 → 13 dic. 2019

Serie de la publicación

Nombre	Proceedings of the IEEE Conference on Decision and Control
Volumen	2019-December
ISSN (versión impresa)	0743-1546
ISSN (versión digital)	2576-2370

Conferencia

Conferencia	58th IEEE Conference on Decision and Control, CDC 2019
País/Territorio	Francia
Ciudad	Nice
Período	11/12/19 → 13/12/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

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10.1109/CDC40024.2019.9029291

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Franco, R., Rios, H., & De Loza, A. F. (2019). A Model Reference Adaptive Continuous Sliding-Mode Control. En 2019 IEEE 58th Conference on Decision and Control, CDC 2019 (pp. 96-101). Artículo 9029291 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC40024.2019.9029291

@inproceedings{7f66b90217f24c10baac68f0aa54e7bd,

title = "A Model Reference Adaptive Continuous Sliding-Mode Control",

abstract = "This paper deals with the problem of robust tracking for a class of scalar linear systems. To this aim, a nonlinear control law is proposed based on a Model Reference Adaptive Continuous Sliding-Mode Control (MRA Continuous-SMC) approach. Such an approach is composed of nonlinear adaptive gains that provide a rate of convergence faster than exponential and ensure convergence to zero of the tracking error. The corresponding convergence proofs are based on a Lyapunov function approach. Finally, some simulation results show the feasibility of the proposed scheme.",

keywords = "Adaptive Control, Linear Systems, Sliding-Modes",

author = "Roberto Franco and Hector Rios and {De Loza}, {Alejandra Ferreira}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 58th IEEE Conference on Decision and Control, CDC 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/CDC40024.2019.9029291",

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

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

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

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booktitle = "2019 IEEE 58th Conference on Decision and Control, CDC 2019",

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Franco, R, Rios, H & De Loza, AF 2019, A Model Reference Adaptive Continuous Sliding-Mode Control. En 2019 IEEE 58th Conference on Decision and Control, CDC 2019., 9029291, Proceedings of the IEEE Conference on Decision and Control, vol. 2019-December, Institute of Electrical and Electronics Engineers Inc., pp. 96-101, 58th IEEE Conference on Decision and Control, CDC 2019, Nice, Francia, 11/12/19. https://doi.org/10.1109/CDC40024.2019.9029291

A Model Reference Adaptive Continuous Sliding-Mode Control. / Franco, Roberto; Rios, Hector; De Loza, Alejandra Ferreira.
2019 IEEE 58th Conference on Decision and Control, CDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 96-101 9029291 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December).

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

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AU - De Loza, Alejandra Ferreira

PY - 2019/12

Y1 - 2019/12

N2 - This paper deals with the problem of robust tracking for a class of scalar linear systems. To this aim, a nonlinear control law is proposed based on a Model Reference Adaptive Continuous Sliding-Mode Control (MRA Continuous-SMC) approach. Such an approach is composed of nonlinear adaptive gains that provide a rate of convergence faster than exponential and ensure convergence to zero of the tracking error. The corresponding convergence proofs are based on a Lyapunov function approach. Finally, some simulation results show the feasibility of the proposed scheme.

AB - This paper deals with the problem of robust tracking for a class of scalar linear systems. To this aim, a nonlinear control law is proposed based on a Model Reference Adaptive Continuous Sliding-Mode Control (MRA Continuous-SMC) approach. Such an approach is composed of nonlinear adaptive gains that provide a rate of convergence faster than exponential and ensure convergence to zero of the tracking error. The corresponding convergence proofs are based on a Lyapunov function approach. Finally, some simulation results show the feasibility of the proposed scheme.

KW - Adaptive Control

KW - Linear Systems

KW - Sliding-Modes

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U2 - 10.1109/CDC40024.2019.9029291

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T3 - Proceedings of the IEEE Conference on Decision and Control

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BT - 2019 IEEE 58th Conference on Decision and Control, CDC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 58th IEEE Conference on Decision and Control, CDC 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

A Model Reference Adaptive Continuous Sliding-Mode Control

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