International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Fuzzy Controller Design for Markovian Jump Nonlinear Systems

  • Dong, Jiuxiang (Colllege of Information Science and Engineering, Northeastern University) ;
  • Yang, Guang-Hong (College of Information Science and Engineering, Northeastern University)
  • Published : 2007.12.31
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Abstract

This paper is concerned with the problem of state feedback control of continuous-time nonlinear Markovian jump systems, which are represented by Takagi-Sugeno fuzzy models. A new method for designing state feedback stabilizing controllers is presented in terms of solvability of a set of linear matrix inequalities (LMIs), and it is shown that the new design method provides better or at least the same results of the existing method in the literature. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

Keywords

References

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