DocumentCode :
3550815
Title :
H fuzzy filter design for uncertain nonlinear systems with Markovian jumps: an LMI approach
Author :
Nguang, Sing Kiong ; Assawinchaichote, Wudhichai ; Shi, Peng ; Shi, Yan
Author_Institution :
Dept. of Electr. & Comput. Eng., Auckland Univ., New Zealand
fYear :
2005
fDate :
8-10 June 2005
Firstpage :
1799
Abstract :
The paper addresses the problem of designing a robust filter for a class of uncertain Markovian jump nonlinear systems described by a class of uncertain Takagi-Sugeno fuzzy models with Markovian jumps. Based on an LMI approach, LMI-based sufficient conditions that guarantee the L2-from an exogenous input to an estimation error is less than a prescribed value are derived. A tunnel diode circuit is used to illustrate the effectiveness of the proposed design techniques.
Keywords :
H control; Markov processes; control system synthesis; fuzzy systems; linear matrix inequalities; nonlinear control systems; uncertain systems; LMI approach; Markovian jumps; estimation error; fuzzy filter design; linear matrix inequality; robust filter design; tunnel diode circuit; uncertain Takagi-Sugeno fuzzy models; uncertain nonlinear systems; Differential equations; Diodes; Estimation error; Filters; Fuzzy systems; Linear systems; Nonlinear systems; Robustness; Sufficient conditions; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
ISSN :
0743-1619
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2005.1470229
Filename :
1470229
Link To Document :
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