Robust stabilization of uncertain T-S fuzzy time-delay systems with exponential estimates

Based on sliding-mode-control theory, we develop a fuzzy controller design method for a class of uncertain time-delay systems that can be represented by Takagi-Sugeno (T-S) fuzzy models. In terms of linear-matrix inequalities (LMIs), we derive a sufficient condition for the existence of stabilizing...

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Bibliographic Details
Main Authors: Zhang, Baoyong (Author), Lam, James (Author), Xu, Shengyuan (Author), Shu, Zhan (Author)
Format: Article
Language:English
Published: 2009-06-16.
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Online Access:Get fulltext
LEADER 01337 am a22001573u 4500
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042 |a dc 
100 1 0 |a Zhang, Baoyong  |e author 
700 1 0 |a Lam, James  |e author 
700 1 0 |a Xu, Shengyuan  |e author 
700 1 0 |a Shu, Zhan  |e author 
245 0 0 |a Robust stabilization of uncertain T-S fuzzy time-delay systems with exponential estimates 
260 |c 2009-06-16. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/199735/1/ZLXS09_FSS.pdf 
520 |a Based on sliding-mode-control theory, we develop a fuzzy controller design method for a class of uncertain time-delay systems that can be represented by Takagi-Sugeno (T-S) fuzzy models. In terms of linear-matrix inequalities (LMIs), we derive a sufficient condition for the existence of stabilizing sliding-mode controllers. We show that the sliding-surface parameter matrix can be characterized in terms of the solution of the LMI-existence condition. Our LMI condition does not require stabilization of the pair of the state and input matrices. Thus, our method can be applied to a broad class of uncertain systems. We also give an LMI-based algorithm to design a switching feedback-control strategy so that a stable sliding motion is induced in finite time. Finally, we give a numerical-design example to show that our method can be better than the previous results 
655 7 |a Article