Abstract: With the proposed definition of the general fuzzy partition (GFP) in the input space, the properties of T-S fuzzy control systems using GFP inputs are studied to make the best use of the antecedent structural information. New stability conditions of T-S fuzzy control systems are proposed via constructing the continuous piecewise smooth Lyapunov function. The resulting conditions in which the interactions among local subsystems are also considered can relax the conservatism of the previous ones and reduce the difficulty of solution. The conservatism relationships among the new conditions we proposed, as well as the relationships between the new conditions and the former one are proved in a rigorous and numerical manner. By means of the parallel distributed compensation (PDC) and linear matrix inequalities (LMI) approaches, the resulting T-S fuzzy control systems are investigated with computer simulations. The results demonstrate that the new stability conditions are effective and advantageous.