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• W4200310324 abstract "This paper explores an improved T-S fuzzy stabilization criteria for nonlinear systems with time-delays via memory sampled-data strategy in the looped-functional context. The sampling period is assumed to be varying within an interval. A new integral inequality is developed to minimize conservatism in the integral term. In addition, free-matrix-based integral inequality (FMBII), and Wirtinger-based integral inequality (WII) are employed. Improved stabilization conditions are derived in linear matrix inequalities (LMIs) using the FMBII, which is based on the looped-functional approach (LFA). A fuzzy memory sampled-data controller design is devised to ensure the asymptotic stability of the closed-loop system. The numerical investigation is carried out with the different approaches, and the resulting outcomes justify that the derived results are less conservative and advantageous over the existing systems." @default.
• W4200310324 created "2021-12-31" @default.
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• W4200310324 date "2022-01-01" @default.
• W4200310324 modified "2023-10-12" @default.
• W4200310324 title "New insights on fuzzy sampled-data stabilization of delayed nonlinear systems" @default.
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• W4200310324 doi "https://doi.org/10.1016/j.chaos.2021.111654" @default.
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