The main intention of this study is to develop a sampled-data H fuzzy controller design to analyze the stability of coupled ordinary differential equation (ODE)–partial differential equation (PDE) systems, where the nonlinear coupled system is expressed by Takagi–Sugeno (T–S) fuzzy models. The coupled ODE–PDE system in this paper constitutes an n–dimensional nonlinear subsystem of ODEs and a scalar linear parabolic subsystem of PDE. Then, in regard to the T–S model representation, Lyapunov technique is utilized to model a sampled-data H fuzzy controller to stabilize the contemplated coupled systems and to attain a desired H disturbance attenuation performance. The formulated time-dependent Lyapunov functional makes full use of the accessible information about the actual sampling pattern. The outcome of the sampled-data H fuzzy control problem is expressed as linear matrix inequality (LMI) optimization problem which can be solved effectively by using any of the available softwares. Finally, hypersonic rocket car model is furnished with simulation results to exhibit the efficacy of the proposed theoretical results.

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