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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)
Publication Information
International Journal of Control, Automation, and Systems / v.5, no.6, 2007 , pp. 712-717 More about this Journal
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
Fuzzy control; linear matrix inequalities (LMIs); Markovian jump parameters;
Citations & Related Records

Times Cited By Web Of Science : 6  (Related Records In Web of Science)
Times Cited By SCOPUS : 5
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