NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES

T. C. Wang; A. Sinha

doi:10.1115/IMECE1996-0938

NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES

T. C. Wang, A. Sinha

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

Abstract

A neural-network-based algorithm has been developed to control steady state vibration in a flexible structure. The main feature of this algorithm is that neural networks are trained to compensate for uncertainties in system parameters and excitation frequencies. Numerical results are presented to corroborate the validity of this algorithm.

Original language	English (US)
Title of host publication	Active Control of Vibration and Noise
Publisher	American Society of Mechanical Engineers (ASME)
Pages	339-345
Number of pages	7
ISBN (Electronic)	9780791815496
DOIs	https://doi.org/10.1115/IMECE1996-0938
State	Published - 1996
Event	ASME 1996 International Mechanical Engineering Congress and Exposition, IMECE 1996 - Atlanta, United States Duration: Nov 17 1996 → Nov 22 1996

Publication series

Name	ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume	1996-B

Conference

Conference	ASME 1996 International Mechanical Engineering Congress and Exposition, IMECE 1996
Country/Territory	United States
City	Atlanta
Period	11/17/96 → 11/22/96

All Science Journal Classification (ASJC) codes

Mechanical Engineering

Access to Document

10.1115/IMECE1996-0938

Cite this

Wang, T. C., & Sinha, A. (1996). NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES. In Active Control of Vibration and Noise (pp. 339-345). (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 1996-B). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE1996-0938

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title = "NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES",

abstract = "A neural-network-based algorithm has been developed to control steady state vibration in a flexible structure. The main feature of this algorithm is that neural networks are trained to compensate for uncertainties in system parameters and excitation frequencies. Numerical results are presented to corroborate the validity of this algorithm.",

author = "Wang, {T. C.} and A. Sinha",

note = "Publisher Copyright: {\textcopyright} 1996 American Society of Mechanical Engineers (ASME). All rights reserved.; ASME 1996 International Mechanical Engineering Congress and Exposition, IMECE 1996 ; Conference date: 17-11-1996 Through 22-11-1996",

year = "1996",

doi = "10.1115/IMECE1996-0938",

language = "English (US)",

series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",

publisher = "American Society of Mechanical Engineers (ASME)",

pages = "339--345",

booktitle = "Active Control of Vibration and Noise",

}

Wang, TC & Sinha, A 1996, NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES. in Active Control of Vibration and Noise. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 1996-B, American Society of Mechanical Engineers (ASME), pp. 339-345, ASME 1996 International Mechanical Engineering Congress and Exposition, IMECE 1996, Atlanta, United States, 11/17/96. https://doi.org/10.1115/IMECE1996-0938

NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES. / Wang, T. C.; Sinha, A.
Active Control of Vibration and Noise. American Society of Mechanical Engineers (ASME), 1996. p. 339-345 (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 1996-B).

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

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T1 - NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES

AU - Wang, T. C.

AU - Sinha, A.

PY - 1996

Y1 - 1996

N2 - A neural-network-based algorithm has been developed to control steady state vibration in a flexible structure. The main feature of this algorithm is that neural networks are trained to compensate for uncertainties in system parameters and excitation frequencies. Numerical results are presented to corroborate the validity of this algorithm.

AB - A neural-network-based algorithm has been developed to control steady state vibration in a flexible structure. The main feature of this algorithm is that neural networks are trained to compensate for uncertainties in system parameters and excitation frequencies. Numerical results are presented to corroborate the validity of this algorithm.

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M3 - Conference contribution

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BT - Active Control of Vibration and Noise

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 1996 International Mechanical Engineering Congress and Exposition, IMECE 1996

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Wang TC, Sinha A. NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES. In Active Control of Vibration and Noise. American Society of Mechanical Engineers (ASME). 1996. p. 339-345. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)). doi: 10.1115/IMECE1996-0938

NEURAL -NETWORK -BASED CONTROL OF VIBRATION IN THE PRESENCE OF UNCERTAINTIES IN SYSTEM PARAMETERS AND EXCITATION FREQUENCIES

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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