Publication: Adaptive radial basis function neural network based tracking control of Van der Pol oscillator
Program
KU-Authors
KU Authors
Co-Authors
Zohaib, Adil
Hussain, Syed Shahzad
Publication Date
Language
Embargo Status
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
In this paper an online adaptive Radial Basis Function (RBF) controller is designed and simulated for the tracking control of Van der Pol oscillator. Van der pol oscillator is a nonlinear oscillator which is used for the modeling of various laser, mechanical and electrical oscillatory systems. The control and adaptive laws for the RBF controller are designed based on the neural network approximation. Lyapunov stability criterion is used in order to analyze the stability of the designed control and adaptive laws. Matlab/Simulink tool is used for the simulation of the designed adaptive controller for the tracking control of Van der Pol oscillator. The designed controller performance is tested with the uncertain system parameters and in the presence of disturbance in the system. The results of simulation show better reference tracking of the oscillator with the designed adaptive controller having good set speed and control accuracy. The designed controller has good robustness against the system perturbations and disturbances.
Source
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Civil engineering, Electrical electronics engineering, Telecommunication
Citation
Has Part
Source
International Conference on Communication Technologies, ComTech 2017
Book Series Title
Edition
DOI
10.1109/COMTECH.2017.8065758