Earticle

초록

영어

An adaptive neural network backstepping control for a class of uncertain nonlinear systems is presented in this paper. Three main issues will be treated: (1) unknown nonlinearities; (2) unknown system parameters; (3) external or internal disturbances. The proposed technique is applied to a simple pendulum. This latter is an unstable system which is perfectly described by a nonlinear model obtained by applying physics laws. A solution has to be found to stabilize pendulum in a desired position. A specific type of artificial neural networks (ANN) called "Multilayer Perceptron (MLP)" is used and simulation results clearly demonstrate the power of this extension.

목차

Abstract
 1. Introduction
 2. Adaptive Neural Network Control
 3. Control Development of a Simple Pendulum
 4. Development and Procedure Control
  4.1. Model
  4.2. Backstepping procedure
 5. Simulation Results
  5.1. Adaptive Neural Network Control - Regulation-(yr=/6)
  5.2. Adaptive Neural Network Control -Variable reference-(yr=0.23.sin(2.t))
 6. Conclusion
 References

키워드

저자

• Messaoud Mokhtari [ Department of Electronics, Faculty of Technology, Batna University, Algeria ]
• Kheireddine Chara [ Department of electronics, Faculty of Technology, Setif University, Algeria ]
• Noureddine Golea [ EE Institute, Oum El-Bouaghi University, Algeria ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605