Robust Stability Analysis of Takagi–Sugeno Fuzzy Nonlinear Singular Systems with Time-Varying Delays Using Delay Decomposition Approach-Reference-Cited by-同舟云学术

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Robust Stability Analysis of Takagi–Sugeno Fuzzy Nonlinear Singular Systems with Time-Varying Delays Using Delay Decomposition Approach

Published:2015-06-16 Issue:3 Volume:35 Page:791-809
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Manivannan A.,Muralisankar S.

Funder

National Board for Higher Mathematics (NBHM), Department of Atomic Energy, Mumbai

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s00034-015-0096-3.pdf

Reference42 articles.

1. P. Balasubramaniam, R. Chandran, Delay decomposition approach to stability analysis for uncertain fuzzy Hopfield neural networks with time-varying delay. Commun. Nonlinear Sci. Numer. Simul. 16, 2098–2108 (2011)

2. P. Balasubramaniam, R. Krishnasamy, R. Rakkiyappan, Delay-dependent stability criterion for a class of non-linear singular Markovian jump systems with mode-dependent interval time-varying delays. Commun. Nonlinear Sci. Numer. Simul. 17, 3612–3627 (2012)

3. S. Boyd, L.E. Ghaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in Systems and Control Theory (SIAM, Philadelphia, 1994)

4. M. Chadli, T.M. Guerra, LMI solution for robust static output feedback control of Takagi–Sugeno fuzzy models. IEEE Trans. Fuzzy Syst. 20, 1160–1165 (2012)

5. M. Chadli, A. Abdo, S.X. Ding, $$H_{1}/H_{\infty }$$ H 1 / H ∞ fault detection filter design for discrete-time Takagi–Sugeno fuzzy system. Automatica 49, 1996–2005 (2013)

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