RBFNN-Based Boundary Control for Disturbance Attenuation of Flexible Beams Under Fixed-Joint Actuation
Year: 2026
Type: article
Abstract: This work addresses the boundary disturbance attenuation problem for a flexible beam governed by a fourth-order partial differential equation. A boundary disturbance observer based on a radial basis function neural network is proposed to achieve high-accuracy online estimation of disturbances without prior knowledge of the disturbance dynamics. In addition, a boundary feedback controller acting only at the fixed end is designed. The control objectives are to ensure accurate tracking of the desired angular position, suppress elastic vibrations, and attenuate the influence of unknown time-varying boundary disturbances. By constructing a Lyapunov functional, the stability of the closed-loop system is established. Numerical simulations demonstrate the effectiveness of the proposed observer and control law.
Source: Actuators
DOI: 10.3390/act15060281
Authors: Yunlai Peng, Jun Shen, Xuyang Lou
Institutions: Jiangnan University, Yantai Institute of Technology
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W7162067161