RBF neural network disturbance observer-based backstepping boundary vibration control for Euler–Bernoulli beam model with input saturation-Reference-Cited by-同舟云学术

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RBF neural network disturbance observer-based backstepping boundary vibration control for Euler–Bernoulli beam model with input saturation

Published:2024-05 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Zhong Jiaqi^ORCID,Zhang Jing^ORCID,Chen Xiaolei,Wang Dengpan,Yuan Yupeng

Funder

Natural Science Foundation of Chongqing Municipality

Natural Science Foundation Project of Chongqing

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference35 articles.

1. New concept for aircraft morphing wing skin: design, modeling, and analysis;You;AIAA J,2019

2. Adaptive output-feedback control of torsional vibration in off-shore rotary oil drilling systems;Wang;Automatica,2020

3. Vibration control for a flexible satellite with input constraint based on Nussbaum function via backstepping method;Ji;Aerosp Sci Technol,2018

4. PDE modeling and tracking control for the flexible tail of an autonomous robotic fish;Zhang;IEEE Trans Syst Man Cybern: Syst,2022

5. Sliding mode vibration control of an Euler–Bernoulli beam with unknown external disturbances;Wang;Nonlinear Dynam,2022

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