A note on the robust stability of uncertain stochastic fuzzy systems with time-delays
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Pages (from-to) | 570-576 |
Journal / Publication | IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans |
Volume | 34 |
Issue number | 4 |
Publication status | Published - Jul 2004 |
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Abstract
Takagi-Sugeno (T-S) fuzzy models are now often used to describe complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear submodels. In this note, the T-S fuzzy model approach is exploited to establish stability criteria for a class of nonlinear stochastic systems with time delay. Sufficient conditions are derived in the format of linear matrix inequalities (LMIs), such that for all admissible parameter uncertainties, the overall fuzzy system is stochastically exponentially stable in the mean square, independent of the time delay. Therefore, with the numerically attractive Matlab LMI toolbox, the robust stability of the uncertain stochastic fuzzy systems with time delays can be easily checked. © 2004 IEEE.
Citation Format(s)
A note on the robust stability of uncertain stochastic fuzzy systems with time-delays. / Wang, Zidong; Ho, Daniel W. C.; Liu, Xiaohui.
In: IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, Vol. 34, No. 4, 07.2004, p. 570-576.
In: IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, Vol. 34, No. 4, 07.2004, p. 570-576.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review