2008
DOI: 10.1109/tfuzz.2008.924338
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LMI-Based Approach for Output-Feedback Stabilization for Discrete-Time Takagi--Sugeno Systems

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Cited by 70 publications
(25 citation statements)
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“…The following result gives some conditions for the stability of (7). Theorem 3.1 (Nachidi et al [31]) If there exist symmetric matrices P 1 >0, . .…”
Section: Stabilization Of T-s Systems Without Delaysmentioning
confidence: 99%
“…The following result gives some conditions for the stability of (7). Theorem 3.1 (Nachidi et al [31]) If there exist symmetric matrices P 1 >0, . .…”
Section: Stabilization Of T-s Systems Without Delaysmentioning
confidence: 99%
“…The asymptotical stability of the fuzzy controller in [19,17] is guaranteed using a common Lyapunov function. Nevertheless, In the context of T-S fuzzy control, it is well known that the use of the common Lyapunov functions may lead to a very conservatism result [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…Hence, it is more suitable to develop methodologies which involve a design with a low dimensionality [2]. This paper derives its basis from recent results of the authors on the stabilization of nominal T-S system using static output-feedback [21]: this selected methodology is based on using multiple Lyapunov functions and does not assume that the all states should be measurable; hence, the results are clearly less conservative and require less sensors than the previous results.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, since the introduction of T-S fuzzy models by Takagi and Sugeno [9] in 1985, fuzzy model control has been extensively studied because T-S fuzzy models provide an effective representation of complex nonlinear systems [10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%