Self-adaptive vibration control of smart composite beams using recurrent neural architecture.

DOI10.1016/S0020-7683(01)00125-1zbMath1090.74637OpenAlexW2045191768MaRDI QIDQ5955411

Manish T. Valoor, Sanjeev Agarwal, K. Chandrashekhara

Publication date: 2001

Published in: International Journal of Solids and Structures (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-7683(01)00125-1

zbMATH Keywords

Finite elementComposite beamPiezoelectric sensors and actuatorsRecurrent neural networkVibration control

Mathematics Subject Classification ID

Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Control, switches and devices (``smart materials) in solid mechanics (74M05) Neural networks for/in biological studies, artificial life and related topics (92B20) Vibrations in dynamical problems in solid mechanics (74H45) Finite element methods applied to problems in solid mechanics (74S05) Composite and mixture properties (74E30)

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Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System ⋮ Self-adaptive vibration control of simply supported beam under a moving mass using self-recurrent wavelet neural networks via adaptive learning rates

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