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title:
 
Intelligent Control of an Inverted Pendulum by Self-Tunable Fuzzy PI-type Controller
publication:
 
EUSFLAT
part of series:
  Advances in Intelligent Systems Research
pages:   728 - 733
DOI:
  To be assigned soon (how to use a DOI)
author(s):
 
Djamel Eddine, Hichem MAAREF
publication date:
 
July 2011
keywords:
 
Self-tuning fuzzy inference system, Adaptive neuro-fuzzy control, Inverted pendulum.
abstract:
 
line Self-tunable PI-type fuzzy inference system with application of control approach to nonlinear system. In this paper, we describe a neuro-fuzzy controller as a STFIS (Self Tuning Fuzzy Inference System) optimized online using the rules of Takagi-Sugeno type, and a back propagation learning algorithm which is used to minimize a cost function that is made up of a quadratic error term and a weight decay term that prevents an excessive growth of parameters. Then STFIS PI-type controller is synthesized. The application is done on a system of inverted pendulum to follow a predefined reference trajectory in the presences of disturbance. Some simulations with robustness tests are performed, which demonstrates the feasibility of the proposed control strategy. Results of simulations containing tests of robustness are presented and realized in MATLAB environment.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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