Abstract: Robust fuzzy hyperbolic H∞ control of nonlinear large-scale systems with parametric uncertainties is studied introducing the fuzzy hyperbolic model (FHM) to approximate to some complex large-scale systems. Then, according to the direct Lyapunov method and decentralized control theory of large-scale systems, a state feedback H∞ controller based on FHM is used such that the sufficient condition can be given in terms of linear matrix inequalities to enable the systems to satisfy the H∞ performance indices. The superiority of FHM over Takagi-Sugeno (T-S) fuzzy model in practice is mainly that no identification of premise structure and complete parameter space are needed, especially FHM costs obviously less than T-S fuzzy model in computation when a lot of fuzzy rules are needed to approximate to highly complex nonlinear systems. A simulation example is given to illustrate the feasibility and validity of the design procedure proposed.