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
Link To Document :
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