NDLI: Robust fault detection for nonlinear time-delay systems based on fuzzy observer

Content Provider	IEEE Xplore Digital Library
Author	Tao Hongfeng Zhang Hua Hu Shousong
Copyright Year	2014
Description	Author affiliation: Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Hu Shousong) \|\| Key Lab. of Adv. Process Control for Light Ind. Minist. of Educ., Jiangnan Univ., Wuxi, China (Tao Hongfeng; Zhang Hua)
Abstract	Robust fault detection method based on fuzzy sliding mode observers is developed for a class of uncertain nonlinear systems with time-delay. The uncertain Takagi-Sugeno fuzzy model with time-delay is adopted for fuzzy modeling of nonlinear system to reduce the modeling error, and a synthesis method of the design of sliding mode observers is introduced to generate the estimate state error and residual then to eliminate the effect of the unknown uncertainties of the system for avoiding false alarms, the synthesis method of the observers is presented via solving LMIs. Finally, a simulation example is given to show the design procedure and illustrate the effectiveness of the proposed method.
Starting Page	3224
Ending Page	3228
File Size	100316
Page Count	5
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6895469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	nonlinear time-delay systems Uncertainty Fault detection T-S fuzzy model fault detection Observers Robustness Takagi-Sugeno model sliding mode observer Nonlinear systems
Content Type	Text
Resource Type	Article

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