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title

Adaptive Backstepping Control for a Class of affine Nonlinear Systems Using Radial Basis Function Neural Networks

Credit to Download: 1 | Page Numbers 4 | Abstract Views: 1673
Year: 2011
Present: شفاهي
COI code: ISCEE14_147
Paper Language: English

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Authors Adaptive Backstepping Control for a Class of affine Nonlinear Systems Using Radial Basis Function Neural Networks

  Arezoo Mortazavian - Department of Electrical Engineering, Islamic Azad University Najafabad branch
  Maryam Zekri - Department of Electrical and computer Engineering ,Isfahan University of Technology (IUT)
Bahram Karimi - Department of Electrical Engineering, Malekashtar University, Shahin shahr, Isfahan

Abstract:

In this paper, adaptive backstepping control is proposed for a class of affine nonlinear systems with unknown nonlinearity. The weight update laws for the neural networks, which approximate the nonlinearity, have been derived in the sense of Lyapunov function and Barbalet’s lemma. Thus, the stability of the closed loop system is ensured. To show the efficiency of the proposed scheme, a suitable affine nonlinear system is chosen as a case study. Simulation results show that the proposed scheme can achieve good tracking performance and all the signals of the closed loop system are bounded.

Keywords:

Adaptive backstepping control, affine nonlinear systems, Radial Basis Neural Network(RBNN)

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COI code: ISCEE14_147

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Mortazavian, Arezoo; Maryam Zekri & Bahram Karimi, 2011, Adaptive Backstepping Control for a Class of affine Nonlinear Systems Using Radial Basis Function Neural Networks, 14th Iranian Student Conference on Electrical Engineering, كرمانشاه, دانشگاه كرمانشاه, سازمان علمي دانشجويي مهندسي برق كشور, https://www.civilica.com/Paper-ISCEE14-ISCEE14_147.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Mortazavian, Arezoo; Maryam Zekri & Bahram Karimi, 2011)
Second and more: (Mortazavian; Zekri & Karimi, 2011)
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Type: Azad University
Paper No.: 8245
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