2013
DOI: 10.1080/03081079.2013.810624
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New delay-dependent stability analysis for fuzzy time-delay interconnected systems

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Cited by 7 publications
(2 citation statements)
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“…Some results on the decentralized H 1 filtering design for continuous-time large-scale T-S fuzzy systems with constant-time delays were presented in [33]. Nevertheless, the delay-dependent criteria given in [29][30][31][32] for large-scale T-S fuzzy systems were derived by the direct Lyapunov approach. It is worth pointing out that another approach based on indirect framework is called the input-output (IO) approach, which primarily relies on the model reformulation and the scaled small gain (SSG) theorem has been proposed to deal with a larger class of systems with time-delays [34][35][36].…”
Section: Introductionmentioning
confidence: 99%
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“…Some results on the decentralized H 1 filtering design for continuous-time large-scale T-S fuzzy systems with constant-time delays were presented in [33]. Nevertheless, the delay-dependent criteria given in [29][30][31][32] for large-scale T-S fuzzy systems were derived by the direct Lyapunov approach. It is worth pointing out that another approach based on indirect framework is called the input-output (IO) approach, which primarily relies on the model reformulation and the scaled small gain (SSG) theorem has been proposed to deal with a larger class of systems with time-delays [34][35][36].…”
Section: Introductionmentioning
confidence: 99%
“…Over the past few decades, control of T-S fuzzy systems with time delays has attracted a great deal of attention, and many results on delay-independent and delay-dependent conditions have been proposed in [13,21,26,27]. Recently, T-S fuzzy control has been developed to investigate large-scale nonlinear systems with time delay [28][29][30][31][32][33]. To mention a few, some results on decentralized state feedback controller design of large-scale T-S fuzzy systems have been proposed in [28][29][30].…”
Section: Introductionmentioning
confidence: 99%