Fault Control for a Class of Nonlinear System with Input Delay

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Abstract:

The paper studies fuzzy fault control for a class of nonlinear system with input delay based on T-S fuzzy model. The state feedback controller that ensures the stability of fuzzy tolerant control system is given via Lyapunov theory and derived in terms of LMI and the results are delay-dependent. Simulation examples are given to illustrate the effectiveness of the approach.

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Periodical:

Advanced Materials Research (Volumes 482-484)

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1801-1804

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] T.Takagi and M. Sugeno: Fuzzy identification of system and its applications to modeling and control. IEEE Trans. Syst., Man, Cybern. Vol.15, No.2, (1985), p.116.

DOI: 10.1109/tsmc.1985.6313399

Google Scholar

[2] D. Yue and J. Lam: Delay feedback control of uncertain systems with time-varying input delay. Automatica. Vol. 41 (2005). pp.233-240.

DOI: 10.1016/j.automatica.2004.09.006

Google Scholar

[3] Bing Chen and XiaoPing Liu: Observer-based stabilization of T-S fuzzy systems with input delay. IEEE Trans. Fuzzy system. (2007). p.1.

DOI: 10.1109/tfuzz.2007.903329

Google Scholar

[4] Y. S. Moon, P. G. Park, and W. H. Kwon: Robust stabilization of uncertain input-delayed systems using reduction method. Automatica. Vol. 37 (2001). p.307.

DOI: 10.1016/s0005-1098(00)00145-x

Google Scholar

[5] Wang Tiechao and Tong Shaocheng: Fuzzy fault tolerant control for a class of uncertain nonlinear system with actuator failures. Fuzzy systems and Mathematics. Vol 25 (2011). p.93. (in Chinese)

DOI: 10.1109/ccdc.2008.4597805

Google Scholar