This paper is concerned with the design of reliable mixed L 2 / H ∞ static output feedback (SOF) fuzzy controllers for nonlinear continuous-time systems with complete sensor faults. The Takagi and Sugeno (T–S) fuzzy model is employed to represent a nonlinear system. A sufficient condition for the existence of reliable mixed L 2 / H ∞ SOF fuzzy controllers is presented in terms of a set of quadratic matrix inequalities (QMIs), which not only guarantees that the closed-loop fuzzy system satisfies a desired H ∞ disturbance attenuation constraint for all admissible operating regimes (including the normal and sensor fault cases), but also provides different upper bounds on the L 2 performance criterion for different operating regimes. A suboptimal reliable fuzzy controller is obtained by the proposed iterative linear matrix inequality (ILMI) algorithm for minimizing the normal L 2 performance bound, while maintaining acceptable lower levels of the bounds in the sensor fault cases. Finally, a numerical example is given to illustrate the effectiveness of the proposed design method.