A4 Refereed article in a conference publication
Feedback Linearization with a Neural Network Based Compensation Scheme
Authors: De Macedo Fernandes Josiane M., Tanaka Marcelo C., Freire Júnior Raimundo C. S., Bessa Wallace M.
Conference name: IDEAL 2012 Intelligent Data Engineering and Automated Learning
Publication year: 2012
Book title : Proceedings of the 2012 Intelligent Data Engineering and Automated Learning (IDEAL)
DOI: https://doi.org/10.1007/978-3-642-32639-4_72
Web address : https://link.springer.com/chapter/10.1007/978-3-642-32639-4_72
This paper presents a nonlinear controller for uncertain single-input–single-output (SISO) nonlinear systems. The adopted approach is based on the feedback linearization strategy and enhanced by a Radial Basis Function neural network to cope with modeling inaccuracies and external disturbances that can arise. An application of this nonlinear controller to an electro-hydraulic actuated system subject to an unknown dead-zone input is also presented. The obtained numerical results demonstrate the improved control system performance.
Downloadable publication This is an electronic reprint of the original article. |  |
