Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System

DOI10.1007/978-3-030-20912-4_10OpenAlexW2945651305MaRDI QIDQ6184693

Unnamed Author, Unnamed Author

Publication date: 29 January 2024

Published in: Artificial Intelligence and Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-20912-4_10

zbMATH Keywords

system identificationadaptive controlneural networkvibration suppressionunknown system

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Adaptive control/observation systems (93C40) Random vibrations in mechanics of particles and systems (70L05) Identification in stochastic control theory (93E12) Model predictive control (93B45)

Cites Work

• Adaptive control. Algorithms, analysis and applications.
• Adaptive control
• Adaptive PID control based on orthogonal endocrine neural networks
• Model predictive control. With a foreword by M. J. Grimble and M. A. Johnson
• Vibration control of active structures. An introduction
• Self-adaptive vibration control of smart composite beams using recurrent neural architecture.

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