Standard

On finite time resonance entrainment in multi-DOF systems. / Efimov, Denis; Fradkov, Alexander; Iwasaki, Tetsuya.

2012 AMERICAN CONTROL CONFERENCE (ACC). Institute of Electrical and Electronics Engineers Inc., 2012. p. 1035-1039 (Proceedings of the American Control Conference).

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

Harvard

Efimov, D, Fradkov, A & Iwasaki, T 2012, On finite time resonance entrainment in multi-DOF systems. in 2012 AMERICAN CONTROL CONFERENCE (ACC). Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 1035-1039, American Control Conference (ACC), Montreal, Canada, 27/06/12.

APA

Efimov, D., Fradkov, A., & Iwasaki, T. (2012). On finite time resonance entrainment in multi-DOF systems. In 2012 AMERICAN CONTROL CONFERENCE (ACC) (pp. 1035-1039). (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc..

Vancouver

Efimov D, Fradkov A, Iwasaki T. On finite time resonance entrainment in multi-DOF systems. In 2012 AMERICAN CONTROL CONFERENCE (ACC). Institute of Electrical and Electronics Engineers Inc. 2012. p. 1035-1039. (Proceedings of the American Control Conference).

Author

Efimov, Denis ; Fradkov, Alexander ; Iwasaki, Tetsuya. / On finite time resonance entrainment in multi-DOF systems. 2012 AMERICAN CONTROL CONFERENCE (ACC). Institute of Electrical and Electronics Engineers Inc., 2012. pp. 1035-1039 (Proceedings of the American Control Conference).

BibTeX

@inproceedings{a74e491fb1e54123be0a96491b3f8b33,
title = "On finite time resonance entrainment in multi-DOF systems",
abstract = "The mechanism of entrainment to natural oscillations in a class of (bio) mechanical systems described by linear models is investigated. A nonlinear control strategy (based on the speed gradient control algorithm) is analyzed providing the system oscillation in resonance mode with a natural frequency. It ensures an energy-optimal entrainment performance robustly against perturbations in system parameters in a finite time. The obtained controller equations can be interpreted as equations of a dynamical neural network. Assuming that the resetting mechanism in animals is selected to ensure a suboptimal entrainment performance, the neural network interpretation may be helpful for understanding the entrainment phenomenon in nature. Efficiency of the proposed entrainment solutions is demonstrated by examples of computer simulation.",
keywords = "entrainment, nonlinear control, oscillations",
author = "Denis Efimov and Alexander Fradkov and Tetsuya Iwasaki",
year = "2012",
language = "Английский",
isbn = "978-1-4577-1095-7",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1035--1039",
booktitle = "2012 AMERICAN CONTROL CONFERENCE (ACC)",
address = "Соединенные Штаты Америки",
note = "null ; Conference date: 27-06-2012 Through 29-06-2012",

}

RIS

TY - GEN

T1 - On finite time resonance entrainment in multi-DOF systems

AU - Efimov, Denis

AU - Fradkov, Alexander

AU - Iwasaki, Tetsuya

PY - 2012

Y1 - 2012

N2 - The mechanism of entrainment to natural oscillations in a class of (bio) mechanical systems described by linear models is investigated. A nonlinear control strategy (based on the speed gradient control algorithm) is analyzed providing the system oscillation in resonance mode with a natural frequency. It ensures an energy-optimal entrainment performance robustly against perturbations in system parameters in a finite time. The obtained controller equations can be interpreted as equations of a dynamical neural network. Assuming that the resetting mechanism in animals is selected to ensure a suboptimal entrainment performance, the neural network interpretation may be helpful for understanding the entrainment phenomenon in nature. Efficiency of the proposed entrainment solutions is demonstrated by examples of computer simulation.

AB - The mechanism of entrainment to natural oscillations in a class of (bio) mechanical systems described by linear models is investigated. A nonlinear control strategy (based on the speed gradient control algorithm) is analyzed providing the system oscillation in resonance mode with a natural frequency. It ensures an energy-optimal entrainment performance robustly against perturbations in system parameters in a finite time. The obtained controller equations can be interpreted as equations of a dynamical neural network. Assuming that the resetting mechanism in animals is selected to ensure a suboptimal entrainment performance, the neural network interpretation may be helpful for understanding the entrainment phenomenon in nature. Efficiency of the proposed entrainment solutions is demonstrated by examples of computer simulation.

KW - entrainment

KW - nonlinear control

KW - oscillations

M3 - статья в сборнике материалов конференции

SN - 978-1-4577-1095-7

T3 - Proceedings of the American Control Conference

SP - 1035

EP - 1039

BT - 2012 AMERICAN CONTROL CONFERENCE (ACC)

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 27 June 2012 through 29 June 2012

ER -

ID: 76606054