Volume 1, Issue 1 (7-2015)                   mmr 2015, 1(1): 51-62 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Soleymanpour Bakefayat A, Dastranj N. Stabilization of Nonlinear Control Systems through Using Zobov’s Theorem and Neural Networks . mmr 2015; 1 (1) :51-62
URL: http://mmr.khu.ac.ir/article-1-2528-en.html
1- Department of Mathematical Sciences, Payame Noor University, Iran
Abstract:   (2384 Views)

Zobov’s Theorem is one of the theorems which indicate the conditions for the stability of a nonlinear system with specific attraction region. We have applied neural networks to approximate some functions mentioned in Zobov’s theorem in order to find the controller of a nonlinear controlled system whose law in a mathematical manner is difficult to make. Finally, the effectiveness and the applicability of the proposed method are demonstrated through using numerical examples.

Full-Text [PDF 934 kb]   (914 Downloads)    
Type of Study: Original Manuscript | Subject: alg
Received: 2016/02/15 | Revised: 2017/09/13 | Accepted: 2016/02/15 | Published: 2016/02/15 | ePublished: 2016/02/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Mathematical Researches

Designed & Developed by : Yektaweb