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