Universal fuzzy controllers based on generalized T--S fuzzy models

  • Authors:

  • Qing Gao;Gang Feng;Yong Wang;Jianbin Qiu

  • Affiliations:

  • Department of Automation, University of Science and Technology of China, Hefei 230026, China and Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 8 ...;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong and School of Automation, Nanjing University of Science and ...;Department of Automation, University of Science and Technology of China, Hefei 230026, China;Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2012

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Abstract

This paper investigates the universal fuzzy control problem based on generalized T-S fuzzy models. The universal approximation capability of the generalized T-S fuzzy models is shown and an approach to robust controller design for general nonlinear systems based on this kind of generalized T-S fuzzy models is developed. The results of universal fuzzy controllers for two classes of nonlinear systems are then given, and constructive procedures to obtain the universal fuzzy controllers are also provided. An example is finally presented to show the effectiveness of our approach.