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• W2735115610 abstract "Abstract This paper investigates the problem of stabilization for fuzzy sampled-data systems with variable sampling. A novel Lyapunov–Krasovskii functional (LKF) is introduced to the fuzzy systems. The benefit of the new approach is that the LKF develops more information about actual sampling pattern of the fuzzy sampled-data systems. In addition, some symmetric matrices involved in the LKF are not required to be positive definite. Based on a recently introduced Wirtinger-based integral inequality that has been shown to be less conservative than Jensen’s inequality, much less conservative stabilization conditions are obtained. Then, the corresponding sampled-data controller can be synthesized by solving a set of linear matrix inequalities (LMIs). Finally, an illustrative example is given to show the feasibility and effectiveness of the proposed method." @default.
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• W2735115610 date "2017-09-01" @default.
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• W2735115610 title "Improved stabilization criteria for fuzzy systems under variable sampling" @default.
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• W2735115610 doi "https://doi.org/10.1016/j.jfranklin.2017.07.024" @default.
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