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Published in: International Journal of Machine Learning and Cybernetics 5/2016

01-10-2016 | Original Article

Robust stabilization for uncertain T–S fuzzy singular system

Author: Jianrong Wu

Published in: International Journal of Machine Learning and Cybernetics | Issue 5/2016

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Abstract

In this paper, the robust stabilization for uncertain Takagi–Sugeno (T–S) fuzzy singular system with norm-bounded time-varying uncertainties in both the state and input matrices is studied. By using the Lyapunov stability theory, a sufficient condition in the form of the linear matrix inequality for robust stability is given. Moreover, some sufficient conditions of robust stabilization based on the state and output feedback controllers are presented respectively.

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Metadata
Title
Robust stabilization for uncertain T–S fuzzy singular system
Author
Jianrong Wu
Publication date
01-10-2016
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 5/2016
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-014-0281-x

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