DocumentCode
2001891
Title
Mode-Independent Stabilizing Control of Markovian Jump Nonlinear Systems
Author
Dong, Jiuxiang ; Yang, Guang-hong
Author_Institution
Northeastern Univ., Shenyang
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
686
Lastpage
690
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 has shown that the new design method provides better or at least the same results of the existing methods in the literature. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Keywords
Markov processes; computability; continuous time systems; control system synthesis; fuzzy systems; linear matrix inequalities; nonlinear control systems; stability; state feedback; Markovian jump nonlinear systems; Takagi-Sugeno fuzzy models; continuous-time nonlinear Markovian jump systems; controller design; linear matrix inequalities; mode-independent stabilizing control; solvability; state feedback control; state feedback stabilizing controllers; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Linear feedback control systems; Linear matrix inequalities; Nonlinear control systems; Nonlinear systems; State feedback; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-0817-7
Electronic_ISBN
978-1-4244-0818-4
Type
conf
DOI
10.1109/ICCA.2007.4376442
Filename
4376442
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