Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam

In this paper, the vibration suppression of three-dimensional Euler-Bernoulli beam based on parameter identification is studied. The appropriate control scheme is designed in the presence of unknown parameters and unknown disturbances. In this paper, a parameter identification method based on support vector machine (SVM) is proposed to identify the unknown parameters, and a self-evolving fuzzy neural network (SEFNN) is proposed to approximate the unknown disturbances. The boundary controller is designed based on the results of identification and approximation. Finally, the stability of the closed-loop system is analyzed by Lyapunov method, and the effectiveness of the parameter identification method and control scheme is verified by numerical simulation.