Interval Type-2 Fuzzy Sampled-Data $H_{\infty }$ Control for Nonlinear Unreliable Networked Control Systems

This paper is concerned with the problem of interval type-2 (IT2) fuzzy sampled-data <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> control for nonlinear networked control systems with parameter uncertainties, data dropout, and transmission delay. The IT2 fuzzy system used to describe the networked control systems and the IT2 networked sampled-data controller implemented by a zero-order holder is connected in the closed-loop system. By means of the input delay approach, the resulting closed-loop system is converted into a continuous-time delayed system. Subsequently, the continuous-time Lyapunov–Krasovskii functional theory is used to carry out the stability analysis. Some slack matrices and the bound information in membership functions are introduced to obtain the relaxed sufficient conditions formed by the linear matrix inequalities, which guarantee the anticipant <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> performance. Finally, the efficiency and merits of the proposed design method are verified by four practical systems.