Abstract: This paper defines a fuzzy singularly perturbed system by extending the ordinary Takagi-Sugeno fuzzy model. Stability conditions for the fuzzy singularly perturbed systems for all small enough values of a singular perturbation parameter are derived and represented in terms of a set of matrix inequalities. By the proposed two-stage procedure, the stable parallel distributed compensation (PDC) feedback gains and a common Lyapunov function can be found. The outcome of the stabilization problem is recast into linear matrix inequalities(LMIs) and bilinear matrix inequalities (BMIs) in each stage respectively. The resulting BMIs can be effectively solved by the proposed iterative linear matrix inequality approach. Furthermore, numerical examples and simulation results are given to verify the effectiveness of the algorithms proposed above.