Neural -network -based control of vibration in the presence of uncertainties in system parameters and excitation frequencies

T. C. Wang; A. Sinha

Neural -network -based control of vibration in the presence of uncertainties in system parameters and excitation frequencies

T. C. Wang
, A. Sinha

Research output: Contribution to journal › Article › peer-review

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)
Pages (from-to)	339-344
Number of pages	6
Journal	American Society of Mechanical Engineers, Design Engineering Division (Publication) DE
Volume	93
State	Published - 1996

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
General Engineering

Cite this

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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",

year = "1996",

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journal = "American Society of Mechanical Engineers, Design Engineering Division (Publication) DE",

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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 - Article

AN - SCOPUS:0030388891

SN - 1521-4613

VL - 93

SP - 339

EP - 344

JO - American Society of Mechanical Engineers, Design Engineering Division (Publication) DE

JF - American Society of Mechanical Engineers, Design Engineering Division (Publication) DE

ER -

Neural -network -based control of vibration in the presence of uncertainties in system parameters and excitation frequencies

Abstract

All Science Journal Classification (ASJC) codes

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