Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction

B. Eugene Parker; H. Vincent Poor

Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction

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

Abstract

This paper describes the results of initial experiments using polynomial neural network based feedback control to reduce flow-induced vibration in aircraft panels due to turbulent boundary layer/structural interaction. The experiments consist of computer simulations used to develop and analyze feedback control strategies to reduce vibration in a beam subjected to turbulent and transitional boundary layers. The experiments suggest that significant suppression of flow-induced vibration can be accomplished through this technique.

Original language	English (US)
Title of host publication	Active Control of Noise and Vibration - 1992
Publisher	Publ by ASME
Pages	33-46
Number of pages	14
ISBN (Print)	0791810933
State	Published - 1992
Externally published	Yes
Event	Winter Annual Meeting of the American Society of Mechanical Engineers - Anaheim, CA, USA Duration: Nov 8 1992 → Nov 13 1992

Publication series

Name	American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
Volume	38

Other

Other	Winter Annual Meeting of the American Society of Mechanical Engineers
City	Anaheim, CA, USA
Period	11/8/92 → 11/13/92

All Science Journal Classification (ASJC) codes

Software
Mechanical Engineering

Cite this

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title = "Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction",

abstract = "This paper describes the results of initial experiments using polynomial neural network based feedback control to reduce flow-induced vibration in aircraft panels due to turbulent boundary layer/structural interaction. The experiments consist of computer simulations used to develop and analyze feedback control strategies to reduce vibration in a beam subjected to turbulent and transitional boundary layers. The experiments suggest that significant suppression of flow-induced vibration can be accomplished through this technique.",

author = "Parker, {B. Eugene} and Poor, {H. Vincent}",

year = "1992",

language = "English (US)",

isbn = "0791810933",

series = "American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC",

publisher = "Publ by ASME",

pages = "33--46",

booktitle = "Active Control of Noise and Vibration - 1992",

note = "Winter Annual Meeting of the American Society of Mechanical Engineers ; Conference date: 08-11-1992 Through 13-11-1992",

}

Parker, BE & Poor, HV 1992, Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction. in Active Control of Noise and Vibration - 1992. American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, vol. 38, Publ by ASME, pp. 33-46, Winter Annual Meeting of the American Society of Mechanical Engineers, Anaheim, CA, USA, 11/8/92.

Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction. / Parker, B. Eugene; Poor, H. Vincent.
Active Control of Noise and Vibration - 1992. Publ by ASME, 1992. p. 33-46 (American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC; Vol. 38).

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

TY - GEN

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AU - Parker, B. Eugene

AU - Poor, H. Vincent

PY - 1992

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N2 - This paper describes the results of initial experiments using polynomial neural network based feedback control to reduce flow-induced vibration in aircraft panels due to turbulent boundary layer/structural interaction. The experiments consist of computer simulations used to develop and analyze feedback control strategies to reduce vibration in a beam subjected to turbulent and transitional boundary layers. The experiments suggest that significant suppression of flow-induced vibration can be accomplished through this technique.

AB - This paper describes the results of initial experiments using polynomial neural network based feedback control to reduce flow-induced vibration in aircraft panels due to turbulent boundary layer/structural interaction. The experiments consist of computer simulations used to develop and analyze feedback control strategies to reduce vibration in a beam subjected to turbulent and transitional boundary layers. The experiments suggest that significant suppression of flow-induced vibration can be accomplished through this technique.

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M3 - Conference contribution

AN - SCOPUS:0026962792

SN - 0791810933

T3 - American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC

SP - 33

EP - 46

BT - Active Control of Noise and Vibration - 1992

PB - Publ by ASME

T2 - Winter Annual Meeting of the American Society of Mechanical Engineers

Y2 - 8 November 1992 through 13 November 1992

ER -

Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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