Điểu khiển thích nghi các hê thống phi tuyến cấu trúc thay đổi sử dụng hệ thống mờ nơ ron.
Author affiliations
DOI:
https://doi.org/10.15625/1813-9663/14/1/7881Abstract
In this paper, we present a method of nonlinear variable structure system control using neural fuzzy systems. All inverse model adaptive control scheme IS chosen. A neural fuzzy system with 011-line supervised structure and parameter learning (adapted from C.T. Lin. C.S.G. Lee) is analysed.Metrics
Metrics Loading ...
Downloads
Published
14-03-2016
How to Cite
[1]
C. V. Hỷ, “Điểu khiển thích nghi các hê thống phi tuyến cấu trúc thay đổi sử dụng hệ thống mờ nơ ron”., JCC, vol. 14, no. 1, pp. 40–44, Mar. 2016.
Issue
Section
Cybernetics
License
1. We hereby assign copyright of our article (the Work) in all forms of media, whether now known or hereafter developed, to the Journal of Computer Science and Cybernetics. We understand that the Journal of Computer Science and Cybernetics will act on my/our behalf to publish, reproduce, distribute and transmit the Work.2. This assignment of copyright to the Journal of Computer Science and Cybernetics is done so on the understanding that permission from the Journal of Computer Science and Cybernetics is not required for me/us to reproduce, republish or distribute copies of the Work in whole or in part. We will ensure that all such copies carry a notice of copyright ownership and reference to the original journal publication.
3. We warrant that the Work is our results and has not been published before in its current or a substantially similar form and is not under consideration for another publication, does not contain any unlawful statements and does not infringe any existing copyright.
4. We also warrant that We have obtained the necessary permission from the copyright holder/s to reproduce in the article any materials including tables, diagrams or photographs not owned by me/us.
