Robust and Adaptive Fuzzy Feedback Linearization Regulator Design

  • Authors:
  • Chang-Woo Park;Young-Ouk Kim;Chong Ho Yi

  • Affiliations:
  • Dept. of Digital & information, INHA Technical College, , Nam-gu, Korea;Intelligent Robotics Research Center, Korea Electronics Technology Institute, ,;Dept. of Digital & information, INHA Technical College, , Nam-gu, Korea

  • Venue:
  • ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we have proposed a new adaptive fuzzy control algorithm and the regulation problem based on Takagi-Sugeno fuzzy model. The regulation problem for the uncertain SISO nonlinear system is solved by the proposed algorithm. Using the advanced stability theory, the stability of the state, the control gain and the parameter choosing considering the approximation error due to the fuzzy modeling is proved. Some numerical examples are presented to verify the effectiveness of the proposed methods.