Design of observers for Takagi-Sugeno fuzzy models for Fault Detection and Isolation-Reference-Cited by-同舟云学术

Design of observers for Takagi-Sugeno fuzzy models for Fault Detection and Isolation

Published:2009 Issue:8 Volume:42 Page:1109-1114
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Akhenak A.,Chadli M.,Ragot J.,Maquin D.

Publisher

Elsevier BV

Subject

General Medicine

Reference25 articles.

1. Design of a sliding mode fuzzy observer for uncertain takagisugeno: application to automatic steering of vehicle;Akhenak;International Journal of Vehicle Autonomous Systems,2007

2. An approach to online identification of Takagi-Sugeno fuzzy models;Angelov;IEEE Transactions on Systems, Man and Cybernetics, Part B,2004

3. S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan. Linear Matrix Inequalities in System and Control Theory. Philadelphia: SIAM, 1994.

4. M. Chadli, D. Maquin, and J. Ragot. Multiple observer for discrete-time multiple model. 5th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, Safeprocess, Washington, USA, June 9–11, 2003.

5. Robust output fuzzy control for vehicle lateral dynamic stability improvement;Chadli;International Journal of Modelling, Identification and Control,2008

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2. Design of reduced-order multiple observers for Takagi-Sugeno systems with unknown inputs;Measurement;2019-02

3. New approaches to observer design and stability analysis for T–S fuzzy system with multiplicative noise;Journal of the Franklin Institute;2017-01

4. Fault Detection and Isolation for an Uncertain Takagi-Sugeno Fuzzy System using the Interval Approach;Fuzzy Systems;2017

5. Robust multiobserver design for discrete uncertain nonlinear systems with time-varying delay;Transactions of the Institute of Measurement and Control;2016-07-21