DocumentCode :
1691065
Title :
LMI design approach to robust fuzzy sliding-mode observer in dynamical uncertain systems
Author :
Zhao, Jin ; Shen, Zhong-yu ; Gu, Xing-Sheng ; Xia, Chun-mei
Author_Institution :
Sch. of Electr. & Autom. Eng., Nanjing Normal Univ., Nanjing, China
fYear :
2010
Firstpage :
4770
Lastpage :
4774
Abstract :
This paper describes the dynamical uncertain systems by the Takagi-Sugeno (T-S) fuzzy dynamic model, and proposes a LMI design method of the robust fuzzy sliding mode observer by applying the robust sliding-mode observer design principle based on the singular value decomposition. Firstly, the Lyapunov function is used as the critical condition which ensures the consistent convergence of the designed observers and the asymptotic stability of states estimation, and then, the synthesis arithmetic of robust fuzzy sliding mode observer is designed by using LMI and pole placement approach, which the designed observer parameters are obtained by convex programming techniques for LMIs. Finally, numerical simulation results are presented to demonstrate the design fuzzy sliding mode observer for an inverted pendulum, and its stability is discussed under pole placements.
Keywords :
Lyapunov methods; control system synthesis; fuzzy control; linear matrix inequalities; observers; uncertain systems; variable structure systems; LMI design approach; Lyapunov function; Takagi-Sugeno; asymptotic stability; dynamical uncertain systems; fuzzy dynamic model; robust fuzzy sliding mode observer; Automation; Conferences; Fuzzy sets; Observers; Robustness; Stability analysis; Uncertain systems; LMI; fuzzy sliding mode observer; pole placement; uncertain system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554577
Filename :
5554577
Link To Document :
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