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• W2912552571 abstract "In this paper, the exponential stabilization problem is addressed for a class of nonlinear parabolic partial differential equation (PDE) systems via sampled-data fuzzy control approach. Initially, the nonlinear PDE system is accurately represented by the Takagi–Sugeno (T–S) fuzzy PDE model. Then, based on the T–S fuzzy PDE model, a novel time-dependent Lyapunov functional is used to design a sampled-data fuzzy controller under spatially point measurements such that the closed-loop fuzzy PDE system is exponentially stable with a given decay rate. The stabilization conditions are presented in terms of a set of linear matrix inequalities (LMIs). Finally, simulation results on the control of the diffusion equation and the FitzHugh–Nagumo (FHN) equation to illustrate the effectiveness of the proposed design method." @default.
• W2912552571 created "2019-02-21" @default.
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• W2912552571 date "2019-11-01" @default.
• W2912552571 modified "2023-10-16" @default.
• W2912552571 title "Sampled-data fuzzy control for a class of nonlinear parabolic distributed parameter systems under spatially point measurements" @default.
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• W2912552571 doi "https://doi.org/10.1016/j.fss.2019.01.011" @default.
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