NDLI: LMI design approach to robust fuzzy sliding-mode observer in dynamical uncertain systems

Content Provider	IEEE Xplore Digital Library
Author	Jin Zhao Zhong-yu Shen Xing-sheng Gu Chun-mei Xia
Copyright Year	2010
Description	Author affiliation: School of Information Science & Engineering, East China University of Science & Technology, Shanghai, China (Xing-sheng Gu) \|\| School of Electrical & Automation Engineering, Nanjing Normal University, China (Jin Zhao; Zhong-yu Shen; Chun-mei Xia)
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.
Starting Page	4770
Ending Page	4774
File Size	454346
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554577
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Observers Robustness Uncertain systems Conferences Fuzzy sets Stability analysis Automation pole placement fuzzy sliding mode observer uncertain system LMI
Content Type	Text
Resource Type	Article

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