Output feedback fuzzy controller design with local nonlinear feedback laws for discrete-time nonlinear systems

  • Authors:

  • Jiuxiang Dong;Youyi Wang;Guang-Hong Yang

  • Affiliations:

  • College of Information Science and Engineering and the Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China;School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore;College of Information Science and Engineering and the Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
  • Year:
  • 2010

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Abstract

This paper considers the output feedback control problem for nonlinear discrete-time systems, which are represented by a type of fuzzy systems with local nonlinear models. By using the estimations of the states and nonlinear functions in local models, sufficient conditions for designing observer-based controllers are given for discrete-time nonlinear systems. First, a separation property, i.e., the controller and the observer can be independently designed, is proved for the class of fuzzy systems. Second, a two-step procedure with cone complementarity linearization algorithms is also developed for solving the H∞ dynamic output feedback (DOF) control problem. Moreover, for the case where the nonlinear functions in local submodels are measurable, a convex condition for designing H∞ controllers is given by a new DOF control scheme. In contrast to the existing methods, the new methods can design output feedback controllers with fewer fuzzy rules as well as less computational burden, which is helpful for controller designs and implementations. Lastly, numerical examples are given to illustrate the effectiveness of the proposed methods.